Results 21 to 30 of about 52,384 (263)

Comparison of estimators under different loss functions for two-parameter bathtub - shaped lifetime distribution

Cumhuriyet Science Journal, 2020
Chen is suggested a two-parameter distribution. This distribution can have increasing failure rate function or a bathtub-shaped that allows it to fit real lifetime data sets.
Kerem Gencer, Gülcan Gencer
doaj   +1 more source

An improved Bayes empirical Bayes estimator [PDF]

International Journal of Mathematics and Mathematical Sciences, 2003
Consider an experiment yielding an observable random quantity X whose distribution Fθ depends on a parameter θ with θ being distributed according to some distribution G0. We study the Bayesian estimation problem of θ under squared error loss function based on X, as well as some additional data available from other similar experiments according to an ...
R. J. Karunamuni, N. G. N. Prasad
openaire   +2 more sources

Reliability and the engineering applications of the generalized half-normal model via an adaptive progressive hybrid censored mechanism

AIP Advances, 2023
Recently, the generalized half-normal distribution with decreasing, increasing, and bathtub hazard function shapes was proposed, making it a more applicable, reliable, and flexible lifespan model.
Ahmed Elshahhat, Refah Alotaibi, Mazen Nassar   +2 more
doaj   +1 more source

Statistical Analysis of Inverse Lindley Data Using Adaptive Type-II Progressively Hybrid Censoring with Applications

Axioms, 2023
This paper deals with the statistical inference of the unknown parameter and some life parameters of inverse Lindley distribution under the assumption that the data are adaptive Type-II progressively censored.
Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat   +2 more
doaj   +1 more source

Empirical Bayes and Full Bayes for Signal Estimation

CoRR, 2014
We consider signals that follow a parametric distribution where the parameter values are unknown. To estimate such signals from noisy measurements in scalar channels, we study the empirical performance of an empirical Bayes (EB) approach and a full Bayes (FB) approach.
Yanting Ma, Jin Tan, Nikhil Krishnan, Dror Baron   +3 more
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Risk Efficiencies of Empirical Bayes and Generalized Maximum Likelihood Estimates for Rayleigh Model under Censored Data

Journal of Probability and Statistics, 2014
The comparison of empirical Bayes and generalized maximum likelihood estimates of reliability performances is made in terms of risk efficiencies when the data are progressively Type II censored from Rayleigh distribution.
Dinesh Barot, Manhar Patel
doaj   +1 more source

Nonparametric Bayes-risk estimation [PDF]

IEEE Transactions on Information Theory, 1971
Two nonparametric methods to estimate the Bayes risk using classified sample sets are described and compared. The first method uses the nearest neighbor error rate as an estimate to bound the Bayes risk. The second method estimates the Bayes decision regions by applying Parzen probability-density function estimates and counts errors made using these ...
Stanley C. Fralick, Richard W. Scott
openaire   +1 more source

Estimation of the Inverse Weibull Distribution Parameters under Type-I Hybrid Censoring

Austrian Journal of Statistics, 2021
The hybrid censoring is a mixture of type-I and type-II censoring schemes. This paper presents the statistical inferences of the inverse Weibull distribution parameters when the data are type-I hybrid censored.
Mohammad Kazemi, Mina Azizpoor
doaj  

Statistical Inference on Simple Step-Stress Accelerated Life Testing for Gompertz Distribution Under .Progressive Type-II Censoring [PDF]

Maǧallaẗ Al-Buḥūṯ Al-Tiǧāriyyaẗ
We consider a simple step-stress model under the Gompertz distribution (GD) when the available data are type-II progressive censored. The cumulative exposure model is assumed when the lifetime of test units follows a Gompertz distribution.
السيد وليد شعبان عبدالمنتصر, سامية ابو الفتوح سالم, اسامة السيد عراقي   +2 more
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Estimation of Generalized Gompertz Distribution Parameters under Ranked-Set Sampling

Journal of Probability and Statistics, 2020
This paper studies estimation of the parameters of the generalized Gompertz distribution based on ranked-set sample (RSS). Maximum likelihood (ML) and Bayesian approaches are considered.
Mohammed Obeidat, Amjad Al-Nasser, Amer I. Al-Omari   +2 more
doaj   +1 more source