文章基本信息

标题：The Generalized Transmuted Weibull Distribution for Lifetime Data
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作者：Zohdy Mohamed Nofal ; Yehia M. El Gebaly
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2017
卷号：13
期号：2
页码：355-378
DOI：10.18187/pjsor.v13i2.1743
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：A new lifetime model, which extends the Weibull distribution using the generalized transmuted-G family proposed by Nofal et al. (2016), called the generalized transmuted Weibull distribution is proposed and studied. Various of its structural properties including ordinary and incomplete moments, quantile and generating functions, probability weighted moments, RØnyi and q-entropies and order statistics are derived. The maximum likelihood method is used to estimate the model parameters. The new distribution is applied to two real data sets to illustrate its exibility. It can serve as an alternative model to other lifetime models available in the literature for modeling positive real data in many areas.
其他摘要：A new lifetime model, which extends the Weibull distribution using the generalized transmuted-G family proposed by Nofal et al. (2016), called the generalized transmuted Weibull distribution is proposed and studied. Various of its structural properties including ordinary and incomplete moments, quantile and generating functions, probability weighted moments, RØnyi and q-entropies and order statistics are derived. The maximum likelihood method is used to estimate the model parameters. The new distribution is applied to two real data sets to illustrate its exibility. It can serve as an alternative model to other lifetime models available in the literature for modeling positive real data in many areas.
关键词：Generalized Transmuted-G Family; Order Statistics; Probabilityity Weighted Moments; Maximum Likelihood; Moments.