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D. Kundu and M. Z. Raqab, “Generalized Rayleigh Distribution: Different Methods of Estimation,” Computational Statistics and Data Analysis, Vol. 49, No. 1, 2005, pp. 187-200. doi:10.1016/j.csda.2004.05.008

has been cited by the following article:

• TITLE: Parameter Estimations for Generalized RayleighDistribution under Progressively Type-I IntervalCensored Data

  AUTHORS: Y. L. Lio, Ding-Geng Chen, Tzong-Ru Tsai

  KEYWORDS: Maximum Likelihood Estimate, Method of Moments, EM Algorithm, Type-I Interval Censoring

  JOURNAL NAME: Open Journal of Statistics, Vol.1 No.2, July 29, 2011

  ABSTRACT: In this paper, inference on parameter estimation of the generalized Rayleigh distribution are investigated for progressively type-I interval censored samples. The estimators of distribution parameters via maximum likelihood, moment method and probability plot are derived, and their performance are compared based on simulation results in terms of the mean squared error and bias. A case application of plasma cell myeloma data is used for illustrating the proposed estimation methods.