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Journal ArticleDOI

Bayesian approach to prediction with outliers from the Burr type X model

Z. F. Jaheen
- 01 Apr 1995 - 
- Vol. 35, Iss: 4, pp 703-705
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TLDR
Bayesian prediction bounds are obtained for the future observations from the Burr type X distribution in the presence of outliers.
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This article is published in Microelectronics Reliability.The article was published on 1995-04-01. It has received 39 citations till now. The article focuses on the topics: Bayesian linear regression & Bayesian statistics.

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Citations
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Journal ArticleDOI

Generalized Rayleigh distribution

TL;DR: Different estimation procedures have been used to estimate the unknown parameter(s) and their performances are compared using Monte Carlo simulations, and it is observed that this particular skewed distribution can be used quite effectively in analyzing lifetime data.
Journal ArticleDOI

Inference for Reliability and Stress-Strength for a Scaled Burr Type X Distribution

TL;DR: Based on the expected Fisher information matrix, asymptotic inference procedures for R and other general functions of the parameters are developed and a bootstrap method to estimatevariance for the maximum likelihood estimators is discussed.
Journal ArticleDOI

Comparison of different estimators of p y < x for a scaled burr type x distribution

TL;DR: In this paper, the authors considered the estimation of P[Y < X, where Y and X are two independent scaled Burr Type X distributions having the same scale parameters, and the maximum likelihood estimator and its asymptotic distribution were used to construct an approximate Bayes estimator.
Journal ArticleDOI

Empirical Bayes estimation of P(Y < X) and characterizations of Burr-type X model

TL;DR: In this paper, the estimation of R = P(Y < X) when Y and X are two independent but not identically distributed Burr-type X random variables is dealt with.
Journal ArticleDOI

Some properties of a scaled Burr type X distribution

TL;DR: In this article, a scaled Burr type X distribution for the first moment is presented, and upper and lower bounds for first moment are given, as well as an approximation based on these bounds.
References
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Book

Outliers in Statistical Data

Vic Barnett, +1 more
TL;DR: In this article, the authors present an updated version of the reference work on outliers, including new areas of study such as outliers in direction data as well as developments in fields such as discordancy tests for univariate and multivariate samples.
MonographDOI

Statistical Prediction Analysis

TL;DR: This paper presents a meta-modelling procedure that automates the very labor-intensive and therefore time-heavy and expensive and expensive process of manually cataloging and forecasting the distribution of distributions in a discrete-time manner.

Outliers in statistical data

Vic Barnett, +1 more
TL;DR: In this paper, the authors present an updated version of the reference work on outliers, including new areas of study such as outliers in direction data as well as developments in fields such as discordancy tests for univariate and multivariate samples.
Journal ArticleDOI

The Bayesian Predictive Distribution in Life Testing Models

TL;DR: In this article, a Bayesian approach to life testing situations and the concept of the Bayesian predictive distribution is used. But the approach is restricted to two-parameter exponential distributions.
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