International Journal of Mathematics and Statistics
type: channel
description: International Journal of Mathematics and Statistics (ISSN: 2208-2212) publishes a wide range of high quality research articles in the field (but not limited to) given below: mathematics, applied mathematics, applied commutative algebra and algebraic geometry, mathematical biology, physics and engineering, theoretical bioinformatics, experimental mathematics, theoretical computer science, numerical computation etc.
publisher: ARC Publishing of Books and Other Publication Services L.L.C
language: en
publication name: International Journal of Mathematics and Statistics
issn: 2208-2212
items: MHD CONVECTIVE FLOW THROUGH A POROUS MEDIUM IN A VERTICAL WAVY CHANNEL WITH HALL EFFECT
items: CASSON HYBRID NANOFLUID FLOW AND HEAT TRANSFER PAST AN INFINITE EXPONENTIALLY ACCELERATED VERTICAL POROUS SURFACE WITH CHEMICAL REACTIONS
items: MULTIPLE SWITCHING SYNCHRONIZATION: THEORY, METHODS, AND APPLICATIONS
items: A STUDY ON CRYPTOGRAPHIC METHODS FOR ENHANCING CYBERSECURITY
items: A TWO-ECHELON SUPPLY CHAIN MODEL FOR TIME DEPEPENDENT DETERIORATING PRODUCTS WITH TIME-DEPENDENT DEMAND, DEMAND-DEPENDENT PRODUCTION RATE AND SHORTAGES WITH FUZZY AND HEXAGONAL FUZZY DEMANDS
items: MATHEMATICAL SIMULATION OF THE CONSEQUENCES OF SOCIAL AWARENESS AND VACCINATION ON THE DYNAMICS OF COVID-19 COMMUNICATION
items: OPTIMIZATION TECHNIQUES IN DATA SCIENCE: A MATHEMATICAL PERSPECTIVE
items: MACHINE LEARNING ALGORITHMS FOR PREDICTIVE ANALYTICS IN FINANCIAL MARKETS
items: A COMPARATIVE ANALYSIS OF MACHINE LEARNING FOR THE EARLY DIAGNOSIS AND IDENTIFICATION OF CARDIOVASCULAR DISEASES
items: Using Advanced Mathematical Method to find Normal Curvature of the Curve on Regular Surfaces
items: THE INTERPLAY OF DATA AND ALGORITHMS: BIG DATA INFLUENCE ON ARTIFICIAL INTELLIGENCE
items: MASTERING THE DATA UNIVERSE IN AI: BIG DATA'S POTENTIAL AND CHALLENGES
items: PARAMETRIZATION OF ALGEBRAIC POINTS OF LOW DEGREES ON THE AFFINE CURVE Y2 = X5 + 1442
items: STATISTICAL ANALYSIS OF GEOMETRIC DISTRIBUTION UNDER CONSTANT-STRESS ACCELERATED LIFE TEST
items: BAYESIAN ESTIMATION OF LINEAR REGRESSION MODEL WITH MULTIPLE CHANGE POINTS FOR MISSING DATA
items: COMPARISON BETWEEN ANALYSIS SOLUTIONS OF VOLTERRA AND FREDHOLM INTEGRAL EQUATIONS OF SECOND KIND
items: ON PREOPENNESS PROPERTY IN GRILL TOPOLOGICAL SPACES
items: NEW SOLUTIONS OF LORENTZ TRANSFORMATION II
items: INVERSE DOMINATION IN SOME OPRATIONS ON BIPOLAR FUZZY GRAPHS
items: THE 2-DOMINATION NUMBER IN FUZZY GRAPHS
items: SEPARATION AXIOMS AND CONNECTEDNESS FOR βω−OPEN SETS
items: WEAK FORMS OF ω−OPEN SETS
items: APPROXIMATE SOLUTIONS TO BOUNDARY VALUE PROBLEMS OF HIGHER-ORDER BY THE MODIFIED ADOMAIN DECOMPOSITION METHOD
items: THE GLOBAL DOMINATION NUMBER IN PRODUCT FUZZY GRAPHS
items: INDEPENDENT DOMINATIO N IN BIPOLAR FUZZY GRAPHS
items: NEW DEVELOPMENT OF ADOMIAN DECOMPOSITION METHOD FOR SOLVING SECOND ORDER ORDINARY DIFFERENTIAL EQUATIONS
items: A NEW DIFFERENTIAL OPERATOR FOR SOLVING MULTI SINGULAR INITIAL VALUE PROBLEMS OF SECOND ORDER
items: ON A CLASS OF WEAKLY BERWALD SPECIAL (Α, Β)-METRICS OF SCALAR FLAG CURVATURE
items: ANALYSIS FOR COUNT AND CATEGORICAL DATA USING REGRESSION MODELS
items: RANDOM SIMULATION OF GENOTYPES FROM RELATIVE PAIRS USING R

MHD CONVECTIVE FLOW THROUGH A POROUS MEDIUM IN A VERTICAL WAVY CHANNEL WITH HALL EFFECT
type: item
description: We have considered heat and mass transfer on the MHD free convection flow of second grade fluid through porous medium bounded by an infinite vertical porous rotating plate taking hall current into account. The analytical solutions for the governing equations are found by utilization of Laplace transformation methodology. The velocity, temperature and concentration is analysed graphically, and computational results for the skin friction, and Sherwood number are also obtained.
subject: Articles
  topic: section
subject: Hall effects
  topic: keywords
subject: Heat and mass transfer
  topic: keywords
subject: MHD flows
  topic: keywords
subject: porous medium
  topic: keywords
subject: rotating channels
  topic: keywords
subject: second grade fluids
  topic: keywords
creator: N. Srinivasa Rao
rights: Copyright (c) 2025 International Journal of Mathematics and Statistics
date: 2025-11-26
publication date: 2025-11-26
starting page: 29
ending page: 36
doi: 10.53555/g7dze612

CASSON HYBRID NANOFLUID FLOW AND HEAT TRANSFER PAST AN INFINITE EXPONENTIALLY ACCELERATED VERTICAL POROUS SURFACE WITH CHEMICAL REACTIONS
type: item
description: Casson hybrid nanofluidover an exponentially accelerated vertical porous surface has been considered. Under the influence of slip velocity in a rotating frame, it takes Hall and ion slip impacts into account. Water and ethylene glycol mixture is considered a base Casson fluid. A steady uniform magnetic field is applied under the postulation of a low magnetic Reynolds number. The ramped temperature and time-altering concentration at the surface are considered. First-order consistent chemical reaction and heat absorption are also regarded. Rotating disks involving chemical reactions find extensive applications in the medical field, particularly in optimizing chemical processes for controlled drug delivery systems, thereby improving precision in therapeutic treatments. In this study, we elucidate the behavior of fluid flow over a rotating disk with Casson ternary hybrid nanofluid with incorporation of chemical reactions. Thus, a similarity transformation approach was employed, converting the boundary layer equations into similarity equations represented as ordinary differential equations. Subsequently, the bvp4c solver in MATLAB is utilized to numerically solve the set of non-linear ordinary differential equations describing the boundary value problem. The graphical representations scrutinize the effects of physical parameters on the significant flow characteristics. The expression for non-dimensional shear stress, heat transfer rate and mass transfer are also evaluated. They are tabulated with different variations in implanted parameters.
subject: Articles
  topic: section
subject: Casson Nano fluid
  topic: keywords
subject: Radial stretching
  topic: keywords
subject: Numerical simulation
  topic: keywords
subject: Chemical reaction
  topic: keywords
subject: Drug delivery
  topic: keywords
creator: N. Srinivasa Rao
rights: Copyright (c) 2025 International Journal of Mathematics and Statistics
date: 2025-09-20
publication date: 2025-09-20
starting page: 17
ending page: 28
doi: 10.53555/n3h59b60

MULTIPLE SWITCHING SYNCHRONIZATION: THEORY, METHODS, AND APPLICATIONS
type: item
description: This review synthesizes the state of the art in multiple switching synchronization for chaotic and complex dynamical systems. We formalize the concept, contrast it with single switching and continuous coupling, and survey stability tools including common and multiple Lyapunov functions, average dwell-time, and sliding/adaptive control under switching. Variants such as complete, lag, generalized, projective, intermittent, and fractional-order multiple switching synchronization are compared. We summarize applications in secure communications, power and energy systems, neural dynamics, robotics and multi-agent systems, and outline open problems regarding robustness, implementation, and data-driven switching policies. The article aims to provide a self-contained reference for researchers and practitioners.
subject: Articles
  topic: section
subject: Chaos synchronization
  topic: keywords
subject: multiple switching
  topic: keywords
subject: Hybrid systems
  topic: keywords
subject: Average dwell-time
  topic: keywords
subject: Lyapunov stability
  topic: keywords
creator: Jayanta Biswas
rights: Copyright (c) 2025 International Journal of Mathematics and Statistics
date: 2025-10-07
publication date: 2025-10-07
starting page: 1
ending page: 16
doi: 10.53555/wgtskx77

A STUDY ON CRYPTOGRAPHIC METHODS FOR ENHANCING CYBERSECURITY
type: item
description: Data security and confidentiality in cryptography depend on mathematical foundations for its implementation. The examination of cryptographic methods throughout this document explains the role of number theory in RSA and elliptic curve algebra in ECC and finite field arithmetic in AES. This research explores two post-quantum cryptographic techniques that employ lattice-based systems and multivariate polynomial systems for their quantum attack defenses. The assessment investigates how statistical and probabilistic techniques operate in cryptanalysis and shows the difficulties of finding an appropriate balance between computational depth and system efficiency. Future studies need to prioritize two aims: establishing quantum-resistant cryptographics along enhancing mathematical security demonstrations while maximizing the efficiency of cryptographic systems.
subject: Articles
  topic: section
subject: Cryptography
  topic: keywords
subject: Number Theory
  topic: keywords
subject: Post-Quantum Security
  topic: keywords
subject: Computational Complexity
  topic: keywords
creator: Ayushman Palo
creator: Rashmita Badatya
creator: Dr. Surender Khan
creator: Pankaj Bhardwaj
creator: Dr. Mostaque Md. Morshedur Hassan
rights: Copyright (c) 2025 International Journal of Mathematics and Statistics
date: 2025-06-25
publication date: 2025-06-25
starting page: 37
ending page: 43
doi: 10.53555/eijms.v11i1.86

A TWO-ECHELON SUPPLY CHAIN MODEL FOR TIME DEPEPENDENT DETERIORATING PRODUCTS WITH TIME-DEPENDENT DEMAND, DEMAND-DEPENDENT PRODUCTION RATE AND SHORTAGES WITH FUZZY AND HEXAGONAL FUZZY DEMANDS
type: item
description: In the era of rapidly evolving pedagogical methods, gamification and game-based learning have emerged as innovative strategies to enhance student engagement and academic achievement. This study investigates the effectiveness of card games as a pedagogical tool in improving the learning outcomes of secondary-level students in biology, specifically focusing on the topic "The Fundamental Unit of Life – Cell." A quasi-experimental design was adopted, involving 65 Class IX students from a school in Surat, Gujarat. Pre-test and post-test achievement scores were analyzed using t-test, revealing a statistically significant improvement in the experimental group's performance. Additionally, qualitative data from observation schedules and feedback forms underscored the development of key 21st-century skills such as communication, collaboration, critical thinking, and Conceptual correlation. The card game, composed of 52 cards with pairing mechanisms based on biological terminologies and diagrams, not only facilitated conceptual clarity but also fostered student motivation and curiosity towards science learning. The results suggest that integrating card games into the science curriculum is an effective and enjoyable strategy to reinforce complex biological concepts, promote peer learning, and enhance academic performance. This study highlights the potential of gamified instructional strategies to transform science education and recommends broader implementation for improved student engagement and learning outcomes in STEAM disciplines.
subject: Articles
  topic: section
subject: Inventory
  topic: keywords
subject: , Fuzzy and Hexagonal Fuzzy Demand
  topic: keywords
creator: James Dipankar Sen
creator: Tripti Chakrabarti
rights: Copyright (c) 2025 International Journal of Mathematics and Statistics
date: 2025-06-10
publication date: 2025-06-10
starting page: 27
ending page: 36
doi: 10.53555/eijms.v11i1.84

MATHEMATICAL SIMULATION OF THE CONSEQUENCES OF SOCIAL AWARENESS AND VACCINATION ON THE DYNAMICS OF COVID-19 COMMUNICATION
type: item
description: The COVID-19 pandemic has underscored the critical importance of understanding how social awareness and vaccination influence the spread and control of infectious diseases. This study presents a comprehensive mathematical simulation model that investigates the combined effects of social awareness initiatives and vaccination campaigns on the dynamics of COVID-19 transmission. By integrating epidemiological parameters with behavioral factors, the model captures how increased public awareness—through education, media, and policy measures—affects individuals’ preventive behaviors such as social distancing, mask-wearing, and acceptance of vaccination. The simulation explores various scenarios reflecting different levels of social responsiveness and vaccine coverage, analyzing their impact on key outcomes such as infection rates, hospitalization, and mortality over time. Results demonstrate that higher social awareness significantly amplifies the effectiveness of vaccination programs, reducing disease transmission more rapidly and preventing potential resurgence. Moreover, the model highlights critical thresholds for vaccination rates required to achieve herd immunity, especially when combined with sustained public health messaging and adherence to preventive measures. This integrated approach underscores the need for coordinated strategies that simultaneously promote social awareness and maximize vaccination uptake to effectively mitigate the pandemic. The findings offer valuable insights for policymakers and health authorities to optimize intervention strategies, emphasizing that vaccination alone is insufficient without strong public engagement and awareness to control COVID-19’s spread in the community.
subject: Articles
  topic: section
subject: COVID-19 Dynamics
  topic: keywords
subject: Mathematical Simulation
  topic: keywords
subject: Social Awareness
  topic: keywords
creator: Naba Kumar Biswas
creator: Dr. Kailash Yadav
rights: Copyright (c) 2025 International Journal of Mathematics and Statistics
date: 2025-05-15
publication date: 2025-05-15
starting page: 16
ending page: 26
doi: 10.53555/eijms.v11i1.81

OPTIMIZATION TECHNIQUES IN DATA SCIENCE: A MATHEMATICAL PERSPECTIVE
type: item
description: The core function of data science depends on optimization because it provides the base for both algorithmic speed and statistical modeling and decision processes. Research examines optimization methods from a mathematical perspective through evaluations of their theoretical foundations together with their convergence attributes and calculations requirements. The research investigates classical gradient-based approaches Gradient Descent and Newton’s Method with complete convergence analysis and establishes the role of Karush-Kuhn-Tucker (KKT) conditions and Lagrange duality for analyzing convex optimization problems. The discussion focuses on non-convex optimization challenges because traditional methods fall short for these problems yet metaheuristic approaches including Simulated Annealing, Genetic Algorithms, and Particle Swarm Optimization solve complex high-dimensional problems effectively. The study recognizes three main mathematical optimization difficulties: solving large-dimensional optimization issues and finding efficient methods for deep learning while achieving the proper balance between exploration and exploitation. Research proposals outline a strategy to connect classical and heuristic optimization methods by integrating machine learning-based techniques that create adaptive and reliable optimization models. This study produces findings that will impact data science along with artificial intelligence as well as computational mathematics since they create a foundation for upcoming developments in optimization-driven methodologies.
subject: Articles
  topic: section
subject: Mathematical Optimization
  topic: keywords
subject: Convex and Non-Convex Optimization
  topic: keywords
subject: Gradient-Based Methods
  topic: keywords
subject: Metaheuristic Algorithms
  topic: keywords
subject: Machine Learning Optimization
  topic: keywords
creator: Dr. Charudatta Dattatraya Bele
creator: Mobin Ahmad
creator: Maheshwari Munigala
creator: Dr. Dhananjay Raosaheb Vidhate
rights: Copyright (c) 2025 International Journal of Mathematics and Statistics
date: 2025-05-01
publication date: 2025-05-01
starting page: 11
ending page: 15
doi: 10.53555/eijms.v11i1.80

MACHINE LEARNING ALGORITHMS FOR PREDICTIVE ANALYTICS IN FINANCIAL MARKETS
type: item
description: A research examines machine learning algorithm applications for financial data prediction in markets by using synthetic data to minimize reliance on traditional datasets. The study develops a hybrid framework that combines deep learning and reinforcement learning models to enhance forecasting precision. GANs and VAEs work together to generate synthetic financial data through advanced network architectures. The prepared data is improved through logarithmic returns and technical indicator techniques. Transformer-based models deliver better performance than LSTM networks because they decrease prediction errors by 12% compared to LSTM networks. At the same time Deep Q-Networks (DQNs) operating under the reinforcement learning framework generate 23% superior cumulative returns compared to typical trading methods. Research outcomes indicate that artificial intelligence-driven models can improve market predictions and company decision-making functions. The research develops a new synthetic data method that boosts financial prediction while delivering essential information for automated traders and financial establishments.
subject: Articles
  topic: section
subject: Machine Learning
  topic: keywords
subject: Financial Forecasting
  topic: keywords
subject: Synthetic Data
  topic: keywords
subject: Algorithmic Trading
  topic: keywords
subject: Deep Learning
  topic: keywords
creator: Dr.Ashish Kumar Soni
creator: Dr Genu Roney Varghese
creator: Mrs Nirmala Roney Varghese
creator: Ms. Vallerina Roney Varghese
creator: Ms. Vinitaa Roney Varghese
creator: Mr. Basavaraj Basannagari
rights: Copyright (c) 2025 EPH - International Journal of Mathematics and Statistics
date: 2025-03-04
publication date: 2025-03-04
starting page: 1
ending page: 10
doi: 10.53555/eijms.v11i1.78

A COMPARATIVE ANALYSIS OF MACHINE LEARNING FOR THE EARLY DIAGNOSIS AND IDENTIFICATION OF CARDIOVASCULAR DISEASES
type: item
description: With the advent of advanced digital technologies revolutionizing the healthcare sector through artificial intelligence and machine learning, there is a significant focus on accurate machine learning models to predict chronic heart diseases. The late detection and misdiagnosis of chronic diseases like cardiovascular disease can significantly increase the mortality rate. Therefore, a dependable, accurate, and workable system must identify these illnesses in time for appropriate treatment. Large-scale and sophisticated data processing has been automated using machine learning techniques and algorithms for various medical datasets. Several researchers have recently employed machine-learning techniques to assist the medical community and experts detect heart-related illnesses. The approach assists in predicting chronic diseases like heart failure and effective rehabilitation and timely management. This paper surveys various machine-learning models and compares their accuracy and other parameters in diagnosing heart-related disease. In this paper, we aim to compare various machine-learning models, and a predictive model is proposed for heart disease prediction based on the stacking of various classifiers. This model suggests fostering accurate decision-making. This proposed model will enhance prediction accuracy and eliminate anomalies, thus justifying the selection of the stacking classifier as the most accurate machine-learning model to predict heart failure about 98%.
subject: Articles
  topic: section
subject: Machine learning (ML)
  topic: keywords
subject: Cardio Vascular Diseases (CVDs)
  topic: keywords
subject: Stacking classifier
  topic: keywords
creator: Purvash Dangi
rights: Copyright (c) 2024 EPH-International Journal of Mathematics and Statistics
date: 2024-11-07
publication date: 2024-11-07
doi: 10.53555/eijms.v10i1.74

Using Advanced Mathematical Method to find Normal Curvature of the Curve on Regular Surfaces
type: item
description: Curvature, being a crucial geometric parameter in many applications of surface analysis, is the amount of deviation of curve from a straight line or plane. This study's objective is to use Matlab to objectively calculate Normal Curvature on Smooth Surfaces. The following article concerns curvature and normal curvature with the focus on two uses: first for the manufacturing of automobile tire’s inner tubes, and second one to identify the ideal choice degree of normal curvature. The aim of the study is finding the normal curvature numerically and using Matlab, which can carry out complex computational tasks with general commands and is relatively more precise and swifter than the standard numerical calculations.
subject: Articles
  topic: section
subject: normal curvature
  topic: keywords
subject: smooth surface
  topic: keywords
subject: curve
  topic: keywords
subject: Matlab
  topic: keywords
creator: Abdel Radi Abdel Rahman Abdel Gadir Abdel Rahman
creator: Eman Farah Altayb Alsamani
creator: Neama Yahia Mohammed Haron
rights: Copyright (c) 2024 EPH-International Journal of Mathematics and Statistics
date: 2024-02-23
publication date: 2024-02-23
starting page: 1
ending page: 8
doi: 10.53555/eijms.v10i1.73

THE INTERPLAY OF DATA AND ALGORITHMS: BIG DATA INFLUENCE ON ARTIFICIAL INTELLIGENCE
type: item
description: The Interplay of Data and Algorithms: Big Data's Influence on AI" is a research exploration that delves into the dynamic relationship between Big Data and Artificial Intelligence (AI). This paper highlights the pivotal role of Big Data in reshaping AI algorithms and models and the transformative impact this synergy has across various industries. The paper begins by elucidating the fundamental concepts of Big Data and AI, offering insights into how large and diverse datasets empower AI systems to adapt, learn, and improve their decision-making capabilities. Through real-world examples and case studies, it showcases the practical applications of Big Data-driven AI in fields such as healthcare, finance, autonomous vehicles, and natural language processing. Moreover, the paper acknowledges the ethical considerations that accompany the utilization of Big Data in AI. It emphasizes the importance of responsible data handling practices to ensure that the benefits of this convergence are distributed fairly and that individual privacy and societal values are preserved.
subject: Articles
  topic: section
subject: Big Data
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Data Challenges
  topic: keywords
subject: Research Challenges
  topic: keywords
subject: Prospects
  topic: keywords
subject: Data Quality
  topic: keywords
subject: Data Preprocessing
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Interdisciplinary Collaboration
  topic: keywords
subject: Predictive Analytics
  topic: keywords
subject: Automation
  topic: keywords
subject: Data Insights
  topic: keywords
subject: Data-driven Decision-making
  topic: keywords
subject: Ethical Considerations
  topic: keywords
creator: Emily Carter
creator: Michael Reynolds
rights: Copyright (c) 2023
date: 2022-11-29
publication date: 2022-11-29
starting page: 1
ending page: 4
doi: 10.53555/eijms.v8i2.70

MASTERING THE DATA UNIVERSE IN AI: BIG DATA'S POTENTIAL AND CHALLENGES
type: item
description: In the digital age, the exponential growth of data, often referred to as "Big Data," has become a valuable resource for various fields, including Artificial Intelligence (AI). This research paper, titled "Mining the Data Goldmine: Big Data's Impact on AI Algorithms and Models," delves into the profound influence that the abundance of data has on the development and performance of AI algorithms and models. This paper offers a comprehensive overview of the synergistic relationship between Big Data and AI, highlighting the ways in which large-scale datasets have revolutionized AI applications. It explores how Big Data serves as both the fuel and the testing ground for AI algorithms, shaping their accuracy, robustness, and scalability. Moreover, this study investigates the challenges posed by Big Data, such as data quality, privacy, and storage, and how they affect the development of AI models. The research dissects the key mechanisms through which AI algorithms extract insights, learn patterns, and make predictions from massive datasets, emphasizing the pivotal role of data preprocessing, feature engineering, and model selection. The research also delves into advanced techniques, such as deep learning, reinforcement learning, and natural language processing, that leverage Big Data to push the boundaries of AI capabilities.
subject: Articles
  topic: section
subject: Big Data
  topic: keywords
subject: AI Algorithms
  topic: keywords
subject: Models
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Impact
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Deep Learning
  topic: keywords
subject: Insights
  topic: keywords
subject: Transformative
  topic: keywords
subject: Applications
  topic: keywords
subject: Innovations
  topic: keywords
creator: Alqasim Shamshari
creator: Habiba Najaf
rights: Copyright (c) 2023
date: 2021-11-29
publication date: 2021-11-29
starting page: 1
ending page: 4
doi: 10.53555/eijms.v7i2.69

PARAMETRIZATION OF ALGEBRAIC POINTS OF LOW DEGREES ON THE AFFINE CURVE Y2 = X5 + 1442
type: item
description: In this work, we determine a parametrization of algebraic points of degrees at most 3 over Q on curve C of affine equation y2 = x5 + 20736. This result extends a result of S. Siksek and M. Stoll who described in [4] the set of Q-rational points on this curve.
subject: Articles
  topic: section
subject: Planes curves - Degree of algebraic points - Rationals points - Algebraic extensions – Jacobian
  topic: keywords
creator: EL Hadji SOW
creator: Pape Modou SARR
creator: Oumar SALL
rights: Copyright (c) 2021 EPH-International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2021-06-27
publication date: 2021-06-27
starting page: 22
ending page: 25
doi: 10.53555/eijms.v7i1.57

STATISTICAL ANALYSIS OF GEOMETRIC DISTRIBUTION UNDER CONSTANT-STRESS ACCELERATED LIFE TEST
type: item
description: Firstly, this paper gives the maximum likelihood estimation of the parameter of geometric distribution under fix-group and fix-time censored test, then sets a linear and regression model using the asymptotic normality of MLE and makes statistical analysis of geometric distribution under constant-stress accelerated life test.
subject: Articles
  topic: section
subject: Geometric distribution
  topic: keywords
subject: censoring life test
  topic: keywords
subject: maximum likelihood estimation
  topic: keywords
subject: constant-stress accelerated life test
  topic: keywords
subject: least square method
  topic: keywords
creator: Chaobing He
rights: Copyright (c) 2021 EPH-International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2021-06-27
publication date: 2021-06-27
starting page: 17
ending page: 21
doi: 10.53555/eijms.v7i1.55

BAYESIAN ESTIMATION OF LINEAR REGRESSION MODEL WITH MULTIPLE CHANGE POINTS FOR MISSING DATA
type: item
description: The missing data is filled in by a random way. The complete data likelihood function of linear regression model with multiple change points for missing data is obtained. The full conditional distributions of change-point positions and other unknown parameters are studied. All the parameters are sampled by Gibbs sampler, and the means of Gibbs samples are taken as Bayesian estimations of the parameters. Random simulation results show that the estimations are fairly accurate.
subject: Articles
  topic: section
subject: Complete-data likelihood function
  topic: keywords
subject: full conditional distribution
  topic: keywords
subject: prior distribution
  topic: keywords
subject: Gibbs sampling
  topic: keywords
creator: Chaobing He
rights: Copyright (c) 2021 EPH-International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2021-06-27
publication date: 2021-06-27
starting page: 11
ending page: 16
doi: 10.53555/eijms.v7i1.54

COMPARISON BETWEEN ANALYSIS SOLUTIONS OF VOLTERRA AND FREDHOLM INTEGRAL EQUATIONS OF SECOND KIND
type: item
description: Our goal in this paper is to compare and evaluate the accuracy and efficiency between the Volterra and Fredholm integral equations of the second kind with initial condition. We followed the Adomian Decomposition method and series solution method, and we found that the two methods in terms of accuracy in the solution also we found that the Adomian Decomposition method gave us the more accurate solution than the other method, so the Adomian Decomposition method it’s the best one method.
subject: Articles
  topic: section
subject: Volterra and Fredholm integral equations
  topic: keywords
subject: , Adomian decomposition method series solution method
  topic: keywords
creator: Abdel Radi Abdel Rahman Abdel Gadir
creator: Samia Abdallah Yagoub Ibrahim
rights: Copyright (c) 2021 EPH-International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2021-06-27
publication date: 2021-06-27
starting page: 1
ending page: 10
doi: 10.53555/eijms.v7i1.53

ON PREOPENNESS PROPERTY IN GRILL TOPOLOGICAL SPACES
type: item
description: The class of a N−preopen sets was introduced by [1] in topological spaces. In this paper we extend the notion of this class into grill topological spaces by giving the concept of GN−preopen sets as a strong form of the class of a N−preopen sets.
subject: Articles
  topic: section
subject: Preopen sets
  topic: keywords
subject: Grill topological spaces
  topic: keywords
creator: Amin Saif
creator: Mohammed Al-Hawmi
creator: Mated Abulwahab
rights: Copyright (c) 2020 EPH-International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2020-12-27
publication date: 2020-12-27
starting page: 26
ending page: 34
doi: 10.53555/eijms.v6i2.52

NEW SOLUTIONS OF LORENTZ TRANSFORMATION II
type: item
description: A simple thought experiment with light clock, which is known in connection with the theory of relativity and its modifications, led me to create the last paper. Paper related to other mathematical solutions of Lorentz transformation. These solutions needed more elaboration and connections. Especially because the mathematical apparatus gains its meaning only when compared to the experiment. The following paper was conceived as a continuation of the previous one, so in this sense the numbering of chapters and, of course, the numbering of equations follows my previous work.
subject: Articles
  topic: section
subject: Lorentz transformation
  topic: keywords
subject: STR
  topic: keywords
subject: Young´s experiment
  topic: keywords
creator: Tomáš Kafoněk
rights: Copyright (c) 2020 EPH-International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2020-12-27
publication date: 2020-12-27
starting page: 17
ending page: 25
doi: 10.53555/eijms.v6i2.51

INVERSE DOMINATION IN SOME OPRATIONS ON BIPOLAR FUZZY GRAPHS
type: item
description: In this paper the concept of inverse domintion in some operations on bipolar fuzzy graphs was introduced and investigated the bound of γ8 of some operations on bipolar fuzzy graphs are obtained like union, join,Cartesian product, strong product and composition.
subject: Articles
  topic: section
subject: Bipolar fuzzy graph
  topic: keywords
subject: inverse domination number
  topic: keywords
creator: Saqr H. AL-Emrany
creator: Mahiuob M. Q. Shubatah
rights: Copyright (c) 2020 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2020-12-27
publication date: 2020-12-27
starting page: 9
ending page: 16
doi: 10.53555/eijms.v6i1.50

THE 2-DOMINATION NUMBER IN FUZZY GRAPHS
type: item
description: In this paper we focus on 2- domination number of a fuzzy graph G by using effective edge and is denoted by γ2(G) and we obtain some results on this concept, the relationship between γ2(G) and some other concepts are obtained.
subject: Articles
  topic: section
subject: 2-dominating set
  topic: keywords
subject: 2-dominatic. Classification 2010: 03E72, 05C69, 05C72
  topic: keywords
creator: Nooraldeen .O. AL-saklady
creator: Mahioub .M. Q. Shubatah
rights: Copyright (c) 2020 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2020-12-27
publication date: 2020-12-27
starting page: 1
ending page: 8
doi: 10.53555/eijms.v6i1.49

SEPARATION AXIOMS AND CONNECTEDNESS FOR βω−OPEN SETS
type: item
description: Our propose in this paper is to introduce the new classes for separation axioms in topo logical spaces by using βω−open sets and Gβω−open sets, called βω−separation axioms and Gβω−separation axioms. Furthermore, we introduce the stronger form of connected spaces.
subject: Articles
  topic: section
subject: Open set
  topic: keywords
subject: Generalized closed set
  topic: keywords
subject: Connectedness
  topic: keywords
creator: Mohammed Al-Hawmi
creator: Amin Saif
creator: Yahya Awbal
rights: Copyright (c) 2016 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2016-06-27
publication date: 2016-06-27
starting page: 21
ending page: 28
doi: 10.53555/eijms.v6i1.48

WEAK FORMS OF ω−OPEN SETS
type: item
description: The principle purpose of this paper is to introduce and study some new classes of sets in topological spaces which are finer than the classes of open sets and ω−open sets. The continuity via these classes will be introduced and studied.
subject: Articles
  topic: section
subject: Open set
  topic: keywords
subject: Generalized Open set
  topic: keywords
subject: Decomposition of continuity
  topic: keywords
creator: Mohammed Al-Hawmi
creator: Amin Saif
creator: Yahya Awbal
rights: Copyright (c) 2016 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2016-06-27
publication date: 2016-06-27
starting page: 13
ending page: 20
doi: 10.53555/eijms.v6i1.47

APPROXIMATE SOLUTIONS TO BOUNDARY VALUE PROBLEMS OF HIGHER-ORDER BY THE MODIFIED ADOMAIN DECOMPOSITION METHOD
type: item
description: This paper propose a new modified differential operator for solving third-order boundary value problems into higherorder ordinary differential equation. We found the differential operator for new two inverse operators which can be applied for solving equations at more than one type in different conditions. This paper is given five non-linear examples from a high-order, we got effective and easily approximate solutions to the exact solution.
subject: Articles
  topic: section
subject: Boundary Value Problem
  topic: keywords
subject: Adomain Decomposition Method
  topic: keywords
subject: Boundary Conditions
  topic: keywords
subject: Higher-Order non-linear ODE.”
  topic: keywords
creator: Yahya Qaid Hasan
creator: Zainab Ali Abdu AL-Rabahi
rights: Copyright (c) 2016 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2016-12-27
publication date: 2016-12-27
starting page: 20
ending page: 31
doi: 10.53555/eijms.v6i1.46

THE GLOBAL DOMINATION NUMBER IN PRODUCT FUZZY GRAPHS
type: item
description: In this paper we introduced the concepts of global domination number and global domatic number in product fuzzy graph and is denoted by γg(G) and dg(G), respectively we determine the global domination number γg(G) for several classes of product fuzzy graph and obtain Nordhaus-Gaddum type results for this parameter. Further, some bounds of γg(G) and dg(G) are investigated. Also the relations between γg(G)(dg(G)) and other known parameter in Product fuzzy graphs are investigated. Finally we introduce the concept of global full number and some results about this concept in product fuzzy graph are done.
subject: Articles
  topic: section
subject: Product fuzzy graphs
  topic: keywords
subject: global domination number
  topic: keywords
subject: global domatic number and global full number.
  topic: keywords
creator: Haifa A. A
creator: Mahioub M.Q Shubatah
rights: Copyright (c) 2020 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2020-06-27
publication date: 2020-06-27
starting page: 29
ending page: 38
doi: 10.53555/eijms.v6i1.45

INDEPENDENT DOMINATIO N IN BIPOLAR FUZZY GRAPHS
type: item
description: In this paper we introduced and studies the concepts of independent domination of bipolar fuzzy graph G, (γi(G)). And chromatic number χ (G) of bipolar fuzzy graph .We investigated the relationship of γi and χ with the other known parameters. Finally we give γi for same standard bipolar fuzzy graph
subject: Articles
  topic: section
subject: Bipolar fuzzy graph independent domination number
  topic: keywords
subject: chromatic number
  topic: keywords
creator: Mansour Hezam AL-Shraby
creator: Mahioub . M. Q. Shubatah
rights: Copyright (c) 2020 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2020-06-27
publication date: 2020-06-27
starting page: 10
ending page: 15
doi: 10.53555/eijms.v6i1.43

NEW DEVELOPMENT OF ADOMIAN DECOMPOSITION METHOD FOR SOLVING SECOND ORDER ORDINARY DIFFERENTIAL EQUATIONS
type: item
description: This study attempts at Adomian Decomposition Method (ADM) for solving second order ordinary differential equations such as Multi singular equation, Bessel’s equation, and Oscillatory systems. The (ADM) results in many known equations, some of them are studied and investigated by mathematicians and researchers, while others are still not well researched yet. We give a new differential operator and invers differential operator to solve different types for initial value problem in the second order ordinary differential equation. There are some different situations that we will study and give the non-linear examples that lead us to the approximate solutions of exact solution.
subject: Articles
  topic: section
subject: Adomian decomposition method
  topic: keywords
subject: Second order ordinary differential equation
  topic: keywords
subject: Singular initial value problems
  topic: keywords
subject: Multi singular equation
  topic: keywords
creator: Yahya Qaid Hasan
creator: Sumayah Ghaleb Othman
rights: Copyright (c) 2020 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2020-06-27
publication date: 2020-06-27
starting page: 16
ending page: 28
doi: 10.53555/eijms.v6i1.44

A NEW DIFFERENTIAL OPERATOR FOR SOLVING MULTI SINGULAR INITIAL VALUE PROBLEMS OF SECOND ORDER
type: item
description: Modified Adomian Decomposition Method (MADM) was used in this research to solve singular initial value problems in the second-order ordinary differential equation. In the beginning, we studied the genral equation, and we gave several illustrations for this equation. In addition, we studied some different cases of second order ordinary differential equations which we got from genral equation. From these cases, we got different types of equations such as multi singular initial value problems, like Bessel’s equation from half order and other equations as well. Using the examples under investigation, we conclude that the solution is converging towards the exact solution.
subject: Articles
  topic: section
creator: Yahya Qaid Hasan
creator: Nuha Mohammed Dabwan
rights: Copyright (c) 2020 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2020-06-27
publication date: 2020-06-27
starting page: 1
ending page: 9
doi: 10.53555/eijms.v6i1.42

ON A CLASS OF WEAKLY BERWALD SPECIAL (Α, Β)-METRICS OF SCALAR FLAG CURVATURE
type: item
description: In this paper, we study the Finsler space with special (α, β)-metric is scalar flag curvature and we proved that, if it is weakly Berwald if and only if it is Berwald and vanishes flag curvature. Further, we found that this metric is locally Minkowskian.
subject: Articles
  topic: section
subject: Finsler space, S-curvature
  topic: keywords
subject: (α, β)-metrics Mean Berwald curvature Homogenous Finsler space
  topic: keywords
creator: Vanithalakshmi S M
creator: Narasimhamurthy S K
creator: Roopa. M. K
rights: Copyright (c) 2019 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2019-12-27
publication date: 2019-12-27
starting page: 1
ending page: 5
doi: 10.53555/eijms.v5i2.41

ANALYSIS FOR COUNT AND CATEGORICAL DATA USING REGRESSION MODELS
type: item
description: Counts are non-negative integers. It represents the number of occurrences of an event within a fixed period. Measurements scales of categorical variable consist of two main types of measurement scales, ordered scales that named ordinal variables and unordered scales that named nominal variables. Regression models are the most frequently used statistical models for analyzing count data such as Poisson and negative binomial regression models; logistic regression models are used with binary and categorical variables. The main goals of this research are considering these models along estimating the parameters of them, discuss the proper model of each type of data, and make a comparison between models using suitable statistical programs for analyzing the two data sets.
subject: Articles
  topic: section
creator: Taghreed Abdul-Razek
creator: Abdul-Motaleb Al-Said, Ph.D
rights: Copyright (c) 2016 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2016-06-27
publication date: 2016-06-27
starting page: 6
ending page: 12
doi: 10.53555/eijms.v5i1.40

RANDOM SIMULATION OF GENOTYPES FROM RELATIVE PAIRS USING R
type: item
description: This paper considers the random simulation of genotypes from relative pairs using R. After Hardy-Weinberg equilibrium law is introduced systematically, the joint probability distributions of general relative pairs are studie. Then ITO method was discussed in detail. Based on the theo ry described above, computer program for genotypes from relative pairs is written using R. According to these R codes, genotypes from relative pairs can be easily generated randomly.
subject: Articles
  topic: section
subject: Relative pair
  topic: keywords
subject: genotype
  topic: keywords
subject: Hardy-Weinberg equilibrium law
  topic: keywords
subject: ITO method
  topic: keywords
subject: conditional probability matrix
  topic: keywords
creator: Chaobing He
rights: Copyright (c) 2016 International Journal of Mathematics and Statistics http://creativecommons.org/licenses/by-nc-nd/4.0
date: 2016-06-27
publication date: 2016-06-27
starting page: 1
ending page: 5
doi: 10.53555/eijms.v5i1.39