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Title of Journal: Stat Papers

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Abbravation: Statistical Papers

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Springer-Verlag

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10.1016/j.ajem.2008.10.033

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1613-9798

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Bayesian estimation of the parameters of the gener

Authors: Chansoo Kim Seongho Song
Publish Date: 2008/06/07
Volume: 51, Issue: 3, Pages: 583-597
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Abstract

This article deals with the problem of estimating parameters and reliability function of the generalized exponential distribution based on type II doubly censored sample using Bayesian viewpoints We also consider the problem of predicting an independent future sample from the same distribution Importance sampling is used to estimate the parameters as well as the reliability function and the Gibbs and Metropolis samplers are used to predict the behavior of future observations from the same distribution

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Other Papers In This Journal:
  1. A generalized skew two-piece skew-elliptical distribution
  2. Estimation of reliability in a multicomponent stress–strength model based on a bivariate Kumaraswamy distribution
  3. Wavelet estimation of the memory parameter for long range dependent random fields
  4. Improved estimators of the distribution function based on lower record values
  5. Consistency of the kernel density estimator: a survey
  6. On the strong convergence for weighted sums of random variables
  7. Penalized estimation in additive varying coefficient models using grouped regularization
  8. Marshall–Olkin bivariate Weibull distributions and processes
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