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

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  • Khan, Hafiz M.R.
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    Abstract

    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.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0167947311003665
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    Bibliographic Info

    Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

    Volume (Year): 56 (2012)
    Issue (Month): 6 ()
    Pages: 1350-1361

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    Handle: RePEc:eee:csdana:v:56:y:2012:i:6:p:1350-1361

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    Web page: http://www.elsevier.com/locate/csda

    Related research

    Keywords: Trimmed sample; Half-normal model; Bayesian method; Statistical inference; Predictive inference;

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