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Kundua, D. and Raqabb, M.Z. (2005) Generalized Rayleigh Distribution. Different Methods of Estimations. Computational Statistics & Data Analysis, 49, 187-200.

has been cited by the following article:

• TITLE: On the Power Performance of Test Statistics for the Generalized Rayleigh Interval Grouped Data

  AUTHORS: Hatim Solayman Migdadi

  KEYWORDS: Generalized Rayleigh Distribution, Interval Grouped Data, Goodness of Fit Tests, Empirical Type 1 Error, Power Function

  JOURNAL NAME: Open Journal of Statistics, Vol.5 No.5, August 26, 2015

  ABSTRACT: In this paper, the weighted Kolmogrov-Smirnov, Cramer von-Miss and the Anderson Darling test statistics are considered as goodness of fit tests for the generalized Rayleigh interval grouped data. An extensive simulation process is conducted to evaluate their controlling of type 1 error and their power functions. Generally, the weighted Kolmogrov-Smirnov test statistics show a relatively better performance than both, the Cramer von-Miss and the Anderson Darling test statistics. For large sample values, the Anderson Darling test statistics cannot control type 1 error but for relatively small sample values it indicates a better performance than the Cramer von-Miss test statistics. Best selection of the test statistics and highlights for future studies are also explored.