Математика список научных статей
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IMPROVING VARIANCE PRECISION IN POPULATION STUDIES: THE ROLE OF POST-STRATIFICATION AND AUXILIARY DATA
In this study, we propose an enhanced estimator for the finite population variance in the context of post-stratified sampling, incorporating an auxiliary variable to improve accuracy. We derive expressions for the bias and mean square error (MSE) of the proposed estimator, providing an...
2025 / M. I. Khan, S. Qurat Ul Ain, M. Younis Shah -
A COMPARATIVE STUDY ON PARAMETER ESTIMATION TECHNIQUES FOR THE DISCRETE INVERSE RAYLEIGH DISTRIBUTION
This article explores into the Discrete Inverse Rayleigh Distribution, a novel discrete analogue of the continuous Inverse Rayleigh distribution, formulated by inverting a continuous Rayleigh random variable. The Discrete Inverse Rayleigh Distribution can effectively capture a range of hazard rate...
2025 / Haripriya M, Radhika A, Jeslin J -
DESIGNING SINGLE SAMPLING PLANS BASED ON ZERO-INFLATED BINOMIAL DISTRIBUTION
Statistical Quality Control (SQC) involves the use of statistical techniques used to assess and monitor the quality of a product. Acceptance sampling is a statistical technique that determines whether to approve or decline a batch of products using a sample instead of inspecting each one...
2025 / Sangeetha S, Shalini K, Hemalatha R -
LEVERAGING RANK SET SAMPLING FOR ENHANCED STRESS-STRENGTH ESTIMATION IN THE CONTEXT OF NAKAGAMI DISTRIBUTION
This study addresses the estimation of the stress-strength reliability model, where stress and strength both following the Nakagami distribution. While conventional approaches have relied on simple random sampling (SRS) for estimating reliability models, recent research suggests that ranked set...
2025 / Surinder Kumar, Rahul Shukla, Bhupendra Meena, Shivendra Pratap Singh -
EVALUATION OF PARAMETRIC ESTIMATION METHODS FOR THE GAMMA DISTRIBUTION USING MAXIMUM LIKELIHOOD AND BAYESIAN APPROACHES IN A CENSORED LIFE-TESTING STRATEGY WITH MARKOV CHAIN MONTE CARLO SIMULATIONS
The goal of this study was to address the computational challenges associated with parametric estimation of the gamma distribution by evaluating the performance of the maximum likelihood and maximum a-posteriori estimation methods within the framework of Markov Chain Monte Carlo simulations. This...
2025 / Christian Akrong Hesse, Dominic Buer Boyetey, Emmanuel Dodzi Kpeglo, Albert Ayi Ashiagbor -
ENHANCING LINDLEY DISTRIBUTION PARAMETER ESTIMATION WITH HYBRID BAYESIAN AVERAGE MODEL FOR FUZZY DATA
With the ultimate goal of increasing parameter estimate accuracy, this study will examine and assess a number of estimating techniques used with the Lindley distribution in the context of fuzzy data. Gibbs sampling, Bootstrapping Sampling, MCMC, MH, and a unique hybrid methodology that combines...
2025 / Abbarapu Ashok, Nadiminti Nagamani -
UNRELIABLE M/G/1 QUEUE WITH GENERAL RETRIAL TIME, WORKING VACATION AND SETUP TIME
In the current article, a retrial queuing system with working vacations, interruptions, setup time, and perfect repair is analyzed. The scenario includes a server taking working vacations during empty periods without a complete halt of servicing customers; however, the rates of service remain...
2025 / Hadjadj Houari, Arrar Nawel, Lahcene Yahiaoui -
ESTIMATING THE POPULATION MEAN USING STRATIFIED DOUBLE UNIFIED RANKED SET SAMPLING FOR ASYMMETRIC DISTRIBUTIONS
In this study, we propose a novel sampling technique known as Stratified Unified Ranked Set Sampling (SDURSS) and evaluate its efficiency for estimating population means. SDURSS is designed to enhance the estimation accuracy by integrating concepts from ranked set sampling with stratified sampling. ...
2025 / Mohammed Ahmed Alomair, Chainarong Peanpailoon, Roohul Andrabi, Tundo Ul Islam Rather, Khalid Ul Islam Rather -
A SIGNIFICANT STUDY ON ROBUST MEASURE OF LOCATION PARAMETERS USING DATA DEPTH APPROACHES
Data depth procedures are statistical methods used to measure the centrality or depth of a point within a multivariate dataset. These procedures provide a way to quantify how deep or outlying a point is relative to the overall distribution of the data. This study explores various data depth...
2025 / Kalaivani S -
OPTIMIZING A LINEAR FRACTIONAL FUNCTION OVER AN INTEGER EFFICIENT SET
Over recent decades, significant advancements have been made in optimization over the efficient set. This paper introduces a novel exact algorithm designed to optimize a linear fractional objective function over the integer efficient set of a multi-objective linear programming problem (MOILP)....
2025 / Leila Younsi-Abbaci -
A MODIFIED INCIDENT EDGE PATH ALGORITHM FOR EFFICIENT SHORTEST PATH SOLUTIONS IN PIPELINE NETWORKS AND URBAN NAVIGATION SYSTEMS
The article describes how to utilize the Modified Incident Edge Path Algorithm (MIEPA) to identify the cheapest transit option and the best route. The MIEPA algorithm, which is based on graph theory, is simple to use and can potentially be employed to major smart logistics challenges such as...
2025 / Kanchana M, Kavitha K∗ -
ON SOME PROPERTIES AND APPLICATIONS OF THE MODI-FRÉCHET DISTRIBUTION
In this paper we introduce a novel expansion of Fréchet distribution from Modi family of probability distributions. The important statistical properties like moments, stochastic ordering, and entropy are studied in this paper. Two distinct characterizations of the proposed distribution are derived...
2025 / Akhila P., Girish Babu M. -
BAYESIAN ESTIMATION OF INVERSE AILAMUJIA DISTRIBUTION USING DIFFERENT LOSS FUNCTIONS
This paper focuses on the Bayesian estimation of the parameter of the inverse Ailamujia distribution, employing advanced prior structures and diverse loss functions. Specifically, the extended Jeffreys’ prior and gamma prior are utilized to derive the Bayesian estimators. Estimation is performed...
2025 / Aijaz Ahmad, Manzoor A. Khanday, Sonali Kedar Powar, Aafaq A. Rather, C. Subramanian -
A MODIFIED WEIGHTED DISTRIBUTION APPLICATION ON DIABETES MELLITUS AND PANCREATIC CANCER DATA
This research article attempts to establish and explore a case of two parameter Nwikpe distribution and termed it as Area Biased C2N distribution. As the characteristics of Hydrogen per Oxide(H2O2) is quite different from that of Water (H2O) even though both are the different combinations of the...
2025 / Praseeja C B, Prasanth C B, C Subramanian, Unnikrishnan T -
EXPLORING QUADRASOPHIC FUZZY SET: APPLICATIONS IN ASSESSING STRESS LEVELS AND SELF-ESTEEM CONNECTIONS
The ambiguous environment has been addressed with a variety of fuzzy sets and their extensions. The Quadrasophic Fuzzy Set is one of the generalization of Fuzzy set to handle imprecise information efficiently. It is defined with two new parameters. In this artifact, we defined the operations,...
2025 / G. Aruna, J. Jesintha Rosline, A. Anthoni Amali -
BAYESIAN GLM: A NON-INFORMATIVE APPROACH FOR PARAMETER ESTIMATION IN EXPONENTIAL DISPERSION REGRESSION MODELS
This paper proposes a novel Bayesian approach to parameter estimation in exponential dispersion regression models (EDRM). By employing a non-informative prior distribution, we offer a flexible and robust framework that avoids the need for subjective prior specification. To efficiently sample from...
2025 / Ibrahim Sadok, Mourad Zribi -
IMPLEMENTATION OF THE MAXIMUM PERMISSIBLE OVERLOAD CAPACITY OF A DC MOTOR
DC motors, due to their wide applicability in various industrial sectors, necessitate precise control of their overload capacity to ensure safe and efficient operation. This study presents a comprehensive methodology for assessing the maximum permissible overload capacity of a DC motor. The core of ...
2025 / Rafig Sultanov, Elbrus Ahmedov, Nadir Aliyev -
THE ROLE OF MODERN GROUNDING DEVICES IN ENSURING THE STABILITY OF POWER SYSTEMS
The article focuses on investigating the impact of grounding device parameters on the stability of power systems under external disturbances, such as short circuits and lightning strikes. The study examines transient processes in power systems, including the analysis of rotor angle variations in...
2025 / I.N. Rahimli, A.L. Bakhtiyarov, G.K. Abdullayeva -
ХАРАКТЕРИСТИЧЕСКИЕ ФУНКЦИИ НЕКОТОРЫХ ВАЖНЫХ СЛУЧАЙНЫХ ВЕЛИЧИН
рассматривается определение характеристической функции случайной величины и его основные свойства. Характеристическая функция случайной величины играет фундаментальную роль в теории вероятностей и математической статистике. Она содержит полную информацию о распределении случайной величины и широко...
2025 / Кулжанов Уткир Негматович, Уралова Озода Бурибоевна, Авлияева Ситабону Отабек Кизи -
PROBABILISTIC INVENTORY MODEL FOR DETERIORATING ITEMS WITH UNCERTAIN DEMAND UNDER PENTAGONAL FUZZY ENVIRONMENT
Using a pentagonal fuzzy framework, this research presents a probabilistic inventory model for deteriorating items under an uncertain demand. Degeneration of items puts a company’s financial ability to meet its objectives at risk. Few models have synchronized optimization over this whole scenario...
2025 / Ashish Negi, Ompal Singh