Results 21 to 30 of about 204 (147)

Theoretical Modeling by Addressing Nonresponse Complications to Improve the Population Mean Under Stratified Random Sampling: Application and Analysis

Journal of Mathematics, Volume 2026, Issue 1, 2026.
An important part of survey sampling is additional information, which allows for more precise estimates of population parameters such as population distribution function, mean, variance, and median. The best outcomes can be assured in this manner. Researchers using survey sampling face the risk of missing important details while attempting to compile ...
Abdullah Mohammed Alomair, Sohaib Ahmad, Nian-Sheng Tang   +2 more
wiley   +1 more source

A simulation study to compare robust clustering methods based on mixtures

, 2010
Model-based clustering, Gaussian mixture, Mixture of t-distributions, Noise component, 62H30, 62F35, 62F10, 62F12,
CORETTO, Pietro, Christian Hennig, Pietro Coretto   +2 more
core   +1 more source

Parametric Inference for a Multicomponent Stress–Strength Reliability Model With Kumaraswamy Distribution Under Ordered Ranked Set Sampling

Journal of Mathematics, Volume 2026, Issue 1, 2026.
Assessing reliability in systems with dual stress constraints needs a flexible model and effective sampling methods. A framework using the Kumaraswamy distribution is set up for multicomponent stress and strength systems. Data collection is done through ordered ranked set sampling, leveraging the unified theory of generalized order statistics to ...
Haidy A. Newer, Bader S. Alanazi, Smritijit Sen   +2 more
wiley   +1 more source

Comparative Analysis and Practical Applications of Cubic Transmutations for the Pareto Distribution

International Journal of Mathematics and Mathematical Sciences, Volume 2025, Issue 1, 2025.
Transmutation is a technique for extending classical probability distributions in order to give them more flexibility. In this paper, we are interested in cubic transmutations of the Pareto distribution. We establish a general formula that unifies the three existing cubic transmuted Pareto (CTP) distributions and facilitates the derivation of three new
Edoh Katchekpele, Issa Cherif Geraldo, Tchilabalo Abozou Kpanzou, Marco Costa   +3 more
wiley   +1 more source

Improved estimators for the selected location parameters

, 2002
Subset selection, exponential populations, simultaneous estimation after selection, natural estimator, the unbiased estimator, improved estimators, Primary 62F10, secondary 62F07, 62C14,
P. Vellaisamy, Abraham Punnen, PUNNEN, AP, VELLAISAMY, P   +3 more
core   +1 more source

Estimating the effects of staggered interventions with count and binary outcomes: a simulation study

Journal of Causal Inference
Difference-in-Differences and Event-Study regression estimators are commonly used to estimate treatment effects. However, when effects are heterogeneous, the standard two-way fixed effects (TWFE) regression can provide biased estimates. Recent literature
Yadav Anil, McHale John, Harold Jason, O’Neill Stephen   +3 more
doaj   +1 more source

An Alternative Type II Claims Pareto Model for Reliability and Bimodal Risk Analysis: Copulas, Properties, Mathematical Modeling, and Actuarial Case Study

Journal of Mathematics, Volume 2025, Issue 1, 2025.
This article aims to present a new type‐II claims Pareto extension for statistical reliability and actuarial analysis. The new probabilistic density can be simplified in terms of the baseline densities. Some new bivariate types were developed under some copula approaches.
Atef F. Hashem, Haitham M. Yousof, M. A. Abdelkawy, M. A. Abd Elgawad, Abdisalam Hassan Muse, Mohamed G. Khalil, Pramita Mishra   +6 more
wiley   +1 more source

Introducing the new arcsine-generator distribution family: An in-depth exploration with an illustrative example of the inverse weibull distribution for analyzing healthcare industry data

Journal of Radiation Research and Applied Sciences
The study is about a novel Arcsin-function based generator of new families of distributions. We chose the inverse Weibull distribution as the reference distribution to see if the generator could be employed.
Tabassum Naz Sindhu, Anum Shafiq, Muhammad Bilal Riaz, Tahani A. Abushal, Hijaz Ahmad, Ehab M. Almetwally, Sameh Askar   +6 more
doaj   +1 more source

Improved Efficiency in Generalized Poisson Hurdle Model Estimation Using Restricted and Shrinkage Methods

Journal of Mathematics, Volume 2025, Issue 1, 2025.
This paper investigates the use of shrinkage estimators in the generalized Poisson hurdle (GPH) model for count data analysis. The GPH model effectively handles data with both excess zeros and over‐ or underdispersion. We propose shrinkage estimators to improve parameter estimation in this model and analyze their asymptotic properties, including biases
Hayder Hasan Rahmah Al-Gharrawi, Hossein Bevrani, Basim Shlaibah Msallam, Antonio Di Crescenzo   +3 more
wiley   +1 more source

Estimation of Power Lomax Distribution for Censored Data With Applications

Journal of Mathematics, Volume 2025, Issue 1, 2025.
In this study, power Lomax (PL) distribution parameters are estimated under an adaptive Type‐II progressive censoring scheme, utilizing both frequentist and Bayesian statistical estimations. The model parameters, reliability and hazard functions, and coefficient of variation are all determined using an iterative procedure in the frequentist estimation.
Abdelfattah Mustafa, Samah M. Ahmed, Nian-Sheng Tang   +2 more
wiley   +1 more source