Results 31 to 40 of about 785 (90)

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

An iterative tomogravity algorithm for the estimation of network traffic

, 2007
This paper introduces an iterative tomogravity algorithm for the estimation of a network traffic matrix based on one snapshot observation of the link loads in the network.
Fang, Jiangang, Vardi, Yehuda, Zhang, Cun-Hui   +2 more
core   +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

Bivariate Power Lindley Models Based on Copula Functions Under Type‐II Censored Samples With Applications in Industrial and Medical Data

Journal of Mathematics, Volume 2025, Issue 1, 2025.
This study introduces three innovative bivariate models to address complex dependencies between random variables in real‐world applications. Specifically, we develop bivariate power Lindley (BPL) distribution models utilizing the Gumbel, Frank, and Clayton copulas.
Ehab M. Almetwally, Aisha Fayomi, Maha E. Qura, Pramita Mishra   +3 more
wiley   +1 more source

Bayesian Estimation and Prediction of Inverse Power Lomax Model Under Censored Data With Applications

Journal of Mathematics, Volume 2025, Issue 1, 2025.
This study presents a comparative analysis of frequentist and Bayesian estimation techniques for the parameters of the inverse power Lomax distribution, employing an adaptive Type‐II progressive censoring approach. The maximum likelihood estimations (MLEs) and their corresponding asymptotic confidence intervals are derived.
Samah M. Ahmed, M. I. Khan, Abdelfattah Mustafa, Nian-Sheng Tang   +3 more
wiley   +1 more source

On the behavior of Bayesian credible intervals for some restricted parameter space problems

, 2006
For estimating a positive normal mean, Zhang and Woodroofe (2003) as well as Roe and Woodroofe (2000) investigate 100($1-\alpha)%$ HPD credible sets associated with priors obtained as the truncation of noninformative priors onto the restricted parameter ...
Marchand, Éric, Strawderman, William E.
core   +1 more source

Median‐Based Unit Weibull (MBUW): A New Variants of Generalized Method of Moments and Percentile Estimators

Journal of Probability and Statistics, Volume 2025, Issue 1, 2025.
This paper introduces a new two‐parameter unit Weibull distribution defined on the interval (0, 1). It discusses the methodology for deriving its probability density function (PDF), explores various properties, and presents related functions. Numerous figures illustrate the distribution and demonstrate its effectiveness in fitting a wide range of ...
Iman M. Attia, Hyungjun Cho
wiley   +1 more source

Efficient parameter estimation for the Poisson–Ailamujia distribution under ranked set and simple random sampling

Applied Mathematics in Science and Engineering
This study presents a comparative analysis of parameter estimation methods for the discrete Poisson–Ailamujia distribution, a model suitable for rare-event data that has received limited attention in the statistical literature, under both simple random ...
Tenzile Erbayram, Ibrahim Elbatal, Yunus Akdoğan, Ahmed Z. Afify   +3 more
doaj   +1 more source

Maximum Fisher information in mixed state quantum systems

, 2004
We deal with the maximization of classical Fisher information in a quantum system depending on an unknown parameter. This problem has been raised by physicists, who defined [Helstrom (1967) Phys. Lett.
Luati, Alessandra
core   +2 more sources

Average group effect of strongly correlated predictor variables is estimable

, 2018
It is well known that individual parameters of strongly correlated predictor variables in a linear model cannot be accurately estimated by the least squares regression due to multicollinearity generated by such variables.
Tsao, Min
core