文章基本信息

标题：Generalized Lindley Family with application on Wind Speed Data
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作者：Selen Cakmakyapan ; Gamze Ozel
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2021
卷号：17
期号：2
页码：387-397
DOI：10.18187/pjsor.v17i2.2518
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：In this study we introduce a new extended class of continuous distributions named generalized Lindley family of distributions. Some properties of the new generator, including ordinary moments, quantile, generating and entropy functions, which hold for any baseline model, are presented. The method of maximum likelihood is used for estimating the model parameters. The flexibility of the new family of distributions is shown via an application on the wind speed data set. The results shows that the proposed family is better than well-known distributions including log-logistic, Burr, Dagum, Fréchet, Pearson, Dagum, Lindley, Weibull and exponential distributions.
关键词：Generated Family; Lindley Distribution; Maximum Likelihood; Moment; Quantile Function; Entropy