INFERENCE AND PREDICTION OF ORDER STATISTICS BASED ON K-RECORD VALUES FROM A WEIBULL DISTRIBUTION

Laji Muraleedharan, Manoj Chacko
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Abstract

In this paper, the problem of estimation of parameters and prediction of order statistics from a future sample based on upper k-record values arising from a two parameter Weibull distribution is considered. The maximum likelihood estimators and the Bayes estimators are obtained based on observed upper k-record values. Bayesian point predictors of the order statistics from a future sample and its two-sided equi-tailed prediction intervals are also derived. Finally, a numerical illustration is considered for exemplifying the proposed inferential procedures developed in this paper.
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基于威布尔分布k记录值的序统计量的推断和预测
本文研究了基于双参数威布尔分布的上k记录值的未来样本参数估计和序统计量预测问题。最大似然估计量和贝叶斯估计量是基于观测到的上k记录值得到的。给出了未来样本序统计量的贝叶斯点预测量及其双侧等尾预测区间。最后,考虑了一个数值说明,以举例说明本文提出的推理程序。
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INFERENCE AND PREDICTION OF ORDER STATISTICS BASED ON K-RECORD VALUES FROM A WEIBULL DISTRIBUTION WHITHER STATISTICS? RELIABILITY AND AVAILABILITY IMPROVEMENT OF RAW MATERIAL CHARGING STATION IN A STEEL INDUSTRY WEIGHTED ALTERNATED CHARTING STATISTIC CONTROL CHART TO MONITOR THE MEAN VECTOR USE OF RANKED SET SAMPLING IN THE ESTIMATION OF PARAMETERS 𝝁𝟐 AND 𝝈𝟐 OF MORGENSTERN TYPE BIVARIATE EXPONENTIAL DISTRIBUTION
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