A New Goodness-of-Fit Test for the Logistic Distribution
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s13571-021-00262-1.pdf
Reference21 articles.
1. Alizadeh Noughabi, H. (2015). Empirical likelihood ratio-based goodness-of-fit test for the logistic distribution. J. Appl. Stat. 42, 1973–1983.
2. Alizadeh Noughabi, H. (2017). Gini index based goodness-of-fit test for the logistic distribution. Commun. Stat. Theor. Methods 46, 7114–7124.
3. Alizadeh Noughabi, H. (2019). A new estimator of Kullback–Leibler information and its application in goodness of fit tests. J. Stat. Comput. Simul. 89, 1914–1934.
4. Al-Shomrani, A.A., Shawky, A.I. and Arif, O.H. (2016). Log-logistic distribution for survival data analysis using MCMC. SpringerPlus 5, 1774.
5. Anderson, T.W. and Darling, D.A. (1954). A test of goodness of fit. J. Am. Stat. Assoc. 49, 765–769.
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