An extended version of Kumaraswamy inverse Weibull distribution and its properties

IF 1.6 Q1 STATISTICS & PROBABILITY Statistica Pub Date : 2016-09-30 DOI:10.6092/ISSN.1973-2201/6317
C. Kumar, Subha R. Nair
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引用次数: 4

Abstract

Here we consider an extended version of the Kumaraswamy modified inverse Weibull distribution and investigate some of its theoretical properties through deriving expressions for cumulative distribution function, reliability function, hazard rate function, quantile function, characteristic function, raw moments, median, mode etc. Certain reliability measures of the distribution are obtained along with the distribution and moments of its order statistics. The maximum likelihood estimation of the parameters of the distribution is discussed and certain real life data applications are given for illustrating the usefulness of the model. Further, with the help of simulated data sets it is shown that the average bias and mean square errors of the maximum likelihood estimators are in decreasing order as the sample size increases.
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Kumaraswamy逆威布尔分布的一个扩展版本及其性质
本文考虑了Kumaraswamy修正逆威布尔分布的一个扩展版本,并通过推导累积分布函数、可靠性函数、危险率函数、分位数函数、特征函数、原始矩、中位数、众数等的表达式,研究了它的一些理论性质。给出了该分布的可靠度测度及其阶数统计量的分布和矩量。讨论了分布参数的极大似然估计,并给出了一些实际数据应用来说明该模型的有效性。此外,借助模拟数据集表明,随着样本量的增加,最大似然估计的平均偏差和均方误差呈递减趋势。
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来源期刊
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
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