期刊名称：Journal of Statistical Theory and Applications (JSTA)
电子版ISSN：1538-7887
出版年度：2016
卷号：15
期号：1
页码：10-26
DOI：10.2991/jsta.2016.15.1.2
语种：English
出版社：Atlantis Press
摘要：In this paper, a new distribution called the exponentiated Kumaraswamy inverse Weibull is proposed. This dis- tribution includes as special cases the inverse exponential, inverseWeibull, inverse Rayleigh and exponentiated inverse Weibull distributions. We study the main properties of this distribution, with special emphasis on its moments and some characteristics related to reliability studies. We also discuss parameter estimation consider- ing the methods of moments and maximum likelihood. An application reveals that the model proposed can be very useful in fitting real data.
关键词：Akaike information criterion; hazard function; Kumaraswamy distribution; maximum likelihood estimation; Weibull distribution; characterizations.
