Results 11 to 20 of about 217 (140)

A Two-Stage Maximum Entropy Prior of Location Parameter with a Stochastic Multivariate Interval Constraint and Its Properties

Entropy, 2016
This paper proposes a two-stage maximum entropy prior to elicit uncertainty regarding a multivariate interval constraint of the location parameter of a scale mixture of normal model.
Hea-Jung Kim
doaj   +1 more source

Bayesian inference in repeated English auctions

, 2004
Bayesian inference, English auctions, game theory, 62F15, 91A10, 91A80,
Gian Albano, Frédéric Jouneau-Sion, Jouneau-Sion, F, Albano, Gian-Luigi   +3 more
core   +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

Mixed Inverse Gaussian Analysis of Covariance for Censored Data: A Bayesian Approach

Journal of Mathematics, Volume 2025, Issue 1, 2025.
This paper proposes a model for analysis of covariance (ANCOVA) of censored data obtained from a positively skewed population by using the mixed inverse Gaussian (MIG) distribution. A hierarchical fully Bayesian approach is employed to fit and infer about the proposed model.
Ehsan Mesdaghi, Afshin Fallah, Rahman Farnoosh, Gholamhossein Yari, Barbara Martinucci   +4 more
wiley   +1 more source

Simulation study on the impact of measurement errors in hierarchical Bayesian semi-parametric models

Computational and Mathematical Biophysics
This study examines the impact of measurement errors on parameter estimates within hierarchical Bayesian semiparametric (HBS) models, with a focus on the Lotka–Volterra predator–prey model as a case study.
Langat Amos Kipkorir, Mwalili Samuel Musili, Kazembe Lawrence Ndekeleni   +2 more
doaj   +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

Beyond conditional averages: Estimating the individual causal effect distribution

Journal of Causal Inference
In recent years, the field of causal inference from observational data has emerged rapidly. The literature has focused on (conditional) average causal effect estimation.
Post Richard A. J., van den Heuvel Edwin R.   +1 more
doaj   +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

Reliability inference of a multicomponent stress-strength model for exponentiated Pareto distribution based on progressive first failure censored samples

Journal of Radiation Research and Applied Sciences
Multicomponent stress-strength (MC-SS) analysis is crucial for risk management and decision-making in various fields such as engineering, manufacturing, and quality control.
Najwan Alsadat, Amal S. Hassan, Mohammed Elgarhy, Mustapha Muhammad, Ehab M. Almetwally   +4 more
doaj   +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