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Predictive inference for a future response using symmetrically trimmed sample from the half-normal model

In this paper, the likelihood function and the posterior density function for the parameters given a symmetric trimmed sample are derived. It is assumed that the sample follows the half-normal model. By making use of the Bayesian framework, the predictive density for a single future response is derived. An informative prior is used to derive the predictive results. A simulated sample and a real life sample are utilized to illustrate the results.
Year of publication:
2012
Authors: Khan, Hafiz M.R.
Published in:
Computational Statistics & Data Analysis. - Elsevier, ISSN 0167-9473. - Vol. 56.2012, 6, p. 1350-1361
Publisher: Elsevier
Subject: Trimmed sample | Half-normal model | Bayesian method | Statistical inference | Predictive inference
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Type of publication: Article
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Persistent link: https://www.econbiz.de/10010574442
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