Bayesian estimation based on trimmed samples from Pareto populations

Fernández, Arturo J.

doi:10.1016/j.csda.2005.11.010

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction4

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2006

2018

Publication Types

Select...

Article9

Relationship

Self Cite1

Independent8

Authors

Journals

Cited by 24 publications

(9 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, Type II right, left, middle and double censoring (e.g. Wu 2007;Fernández 2006bFernández , 2008bFernández , 2009) are special cases.…”

Section: Introductionmentioning

confidence: 99%

Bayesian estimation and prediction based on Rayleigh sample quantiles

Fernández

2009

Qual Quant

Self Cite

View full text Add to dashboard Cite

show abstract

“…In particular, Type II right, left, middle and double censoring (e.g. Wu 2007;Fernández 2006bFernández , 2008bFernández , 2009) are special cases.…”

Section: Introductionmentioning

confidence: 99%

Bayesian estimation and prediction based on Rayleigh sample quantiles

Fernández

2009

Qual Quant

Self Cite

View full text Add to dashboard Cite

show abstract

“…Fernandez (2000) investigated maximum likelihood prediction based on type II doubly censored exponential data. Fernandez (2006) has discussed Bayesian estimation based on trimmed samples from Pareto populations. Khan et al (2010) studied predictive inference from a two-parameter Rayleigh life 260 model given a doubly censored sample.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Estimation of the Parameters of Two-Component Mixture of Rayleigh Distribution under Doubly Censoring

Sindhu

Feroze

Aslam

2014

J. Mod. App. Stat. Meth.

View full text Add to dashboard Cite

Recently, the Bayesian analysis of the two-component mixture of lifetime models under singly type I censored samples was discussed. The Bayes estimation of the parameters of mixture of two Rayleigh distributions (MTRD) is developed under doubly censoring. Different informative priors, under squared error loss function and k-loss function, have been assumed for the posterior estimation. The performance of different estimators has been compared in terms of posterior risks by analyzing the simulated and real life data sets.

show abstract

“…Fernandez (2000) investigated maximum likelihood prediction based on type II doubly censored exponential data. Fernandez (2006) In statistics, a mixture distribution is signified as a convex fusion of other probability distributions. It can be used to model a statistical population with subpopulations, where constituent of mixture probability densities are the densities of the subpopulations.…”

Section: Introductionmentioning

confidence: 99%

Vol. 13, No. 2 (Full Issue)

2014

J. Mod. App. Stat. Meth.

View full text Add to dashboard Cite

Forty years ago, Eugene Edgington developed a single-case AB intervention design-andanalysis procedure based on a random determination of the point at which the B phase would start. In the present simulation studies encompassing a variety of AB-type contexts, it is demonstrated that by also randomizing the order in which the A and B phases are administered, a researcher can markedly increase the procedure's statistical power.

show abstract

Bayesian estimation based on trimmed samples from Pareto populations

Cited by 24 publications

References 37 publications

Bayesian estimation and prediction based on Rayleigh sample quantiles

Bayesian estimation and prediction based on Rayleigh sample quantiles

Bayesian Estimation of the Parameters of Two-Component Mixture of Rayleigh Distribution under Doubly Censoring

Vol. 13, No. 2 (Full Issue)

Contact Info

Product

Resources

About