On Methods of Estimation for the Type II Discrete Weibull Distribution
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Vision and Pattern Recognition,Energy Engineering and Power Technology,Signal Processing
Link
http://link.springer.com/article/10.1007/s40998-018-0086-0/fulltext.html
Reference24 articles.
1. Barbiero A (2013) Parameter estimation for type III discrete Weibull distribution: a comparative study. J Prob Stat 2013:946562. https://doi.org/10.1155/2013/946562
2. Barbiero A (2015) Discrete Weibull distributions (Type 1 and 3). R Package Version 1.0.1
3. Barbiero A (2016) A comparison of methods for estimating parameters of the type I discrete Weibull distribution. Stat Interface 9(2):203–212
4. Bebbington MS, Lai C-D (1998) A generalized negative binomial and applications. Commun Stat Theory Methods 27(10):2515–2533
5. Bracquemond C, Gaudoin O, Roy D, Xie M (2001) On some discrete notions of aging. In: Hayakawa Y, Irony T, Xie M (eds) System and bayesian reliability, a volume in honor of Richard E. Barlow. World Scientific, Singapore, pp 185–197
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