Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13087/31
Title: A COMPARISON OF DIFFERENT ESTIMATION METHODS FOR THE PARAMETERS OF THE WEIBULL LINDLEY DISTRIBUTION
Authors: Acıtaş, Şükrü
Arslan, Talha
Issue Date: 2020
Abstract: In this study, we consider different estimation methods for the parameters of Weibull Lindley distribution introduced by Ashgarzadeh et al. [1]. In this context, maximum likelihood (ML), least squares (LS), weighted least squares (WLS), Cramer Von Mises (CVM) and Anderson Darling (AD) estimation methods are utilized. The main focus of this study is to examine performances of these estimation methods. For this purpose, we carry out a Monte-Carlo simulation study based on different parameter settings and various values of the sample size. Results show that the AD estimators are almost preferable. Two real life data sets taken from the literature are also considered at end of the study.
URI: https://doi.org/10.20290/estubtdb.529328
https://app.trdizin.gov.tr/makale/TXprd01ERXlNZz09
https://hdl.handle.net/20.500.13087/31
ISSN: 2146-0272
2667-419X
Appears in Collections:Malzeme Bilimi ve Mühendisliği Bölümü Koleksiyonu
TR-Dizin İndeksli Yayınlar Koleksiyonu

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