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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.

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.

Suggested Citation

  • Khan, Hafiz M.R., 2012. "Predictive inference for a future response using symmetrically trimmed sample from the half-normal model," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1350-1361.
    • Handle: RePEc:eee:csdana:v:56:y:2012:i:6:p:1350-1361
    DOI: 10.1016/j.csda.2011.10.009
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    References listed on IDEAS

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    1. BuHamra, Sana S. & Al-Kandari, N.M.Noriah M. & Ahmed, S. E., 2004. "Inference concerning quantile for left truncated and right censored data," Computational Statistics & Data Analysis, Elsevier, vol. 46(4), pages 819-831, July.
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    Cited by:

    1. Castro, Luis M. & Gómez, Héctor W. & Valenzuela, Maria, 2012. "Epsilon half-normal model: Properties and inference," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4338-4347.
    2. Fernández, Arturo J., 2013. "Smallest Pareto confidence regions and applications," Computational Statistics & Data Analysis, Elsevier, vol. 62(C), pages 11-25.

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