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Optimal sample size for record data and associated cost analysis for exponential distribution

机译:记录数据的最佳样本量以及指数分布的相关成本分析

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Estimation of the mean of an exponential distribution based on record data has been treated by Samaniego and Whitaker [F.J. Samaniego, and L.R. Whitaker, On estimating popular characteristics from recordbreak-ing observations I. Parametric results, Naval Res. Logist. Quart. 33 (1986), pp. 531-543] and Doostparast [M. Doostparast, A note on estimation based on record data, Metrika 69 (2009), pp. 69-80]. When a random sample Y_1,..., Y_n is examined sequentially and successive minimum values are recorded, Samaniego and Whitaker [F. J. Samaniego, and L.R. Whitaker, On estimating popular characteristics from record breaking observations I. Parametric results, Naval Res. Logist. Quart. 33 (1986), pp. 531-543] obtained a maximum likelihood estimator of the mean of the population and showed its convergence in probability. We establish here its convergence in mean square error, which is stronger than the convergence in probability. Next, we discuss the optimal sample size for estimating the mean based on a criterion involving a cost function as well as the Fisher information based on records arising from a random sample. Finally, a comparison between complete data and record is carried out and some special cases are discussed in detail.
机译:Samaniego和Whitaker处理了基于记录数据的指数分布平均值的估计[F.J. Samaniego和L.R.惠特克(Whitaker),《关于从破纪录的观察中估计流行特征的研究》,I。参数化结果,《海军研究》。物流员。夸脱。 33(1986),第531-543页]和Doostparast [M. Doostparast,关于基于记录数据的估计的注释,Metrika 69(2009),第69-80页]。当依次检查随机样本Y_1,...,Y_n并记录连续的最小值时,Samaniego和Whitaker [F. J.Samaniego和L.R.惠特克(Whitaker),《关于从破纪录的观察中估计流行特征的研究》,I。参数化结果,海军研究中心。物流员。夸脱。 33(1986),第531-543页]获得了总体均值的最大似然估计,并显示了其概率收敛性。我们在此处建立均方误差的收敛性,该均方性强于概率收敛。接下来,我们讨论用于基于包含成本函数的准则来估计均值的最佳样本量,以及基于随机样本产生的记录的Fisher信息。最后,对完整数据和记录进行了比较,并详细讨论了一些特殊情况。

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