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Balakrishnan, N. and Sandhu, R.A. (1996) Best Linear Unbiased and Maximum Likelihood Estimation for Exponential Distributions under General Progressive Type-II Censored Samples. Sankhya: The Indian Journal of Statistics, Series B, Part I, 58, 1-9.

has been cited by the following article:

• TITLE: Goodness-of-Fit in Shifted Exponential Distribution

  AUTHORS: Mezbahur Rahman, Rebecca K. Sulley

  KEYWORDS: Anderson-Darling Test, Chi-Square Test, Cramer-Von-Mises Test, Kolmogorov-Smirnov Test, Likelihood-Ratio Anderson-Darling Test, Likelihood-Ratio Kolmogorov-Smirnov Test, Shapiro-Francia Test, and Shapiro-Wilk Test

  JOURNAL NAME: Open Journal of Statistics, Vol.15 No.2, April 30, 2025

  ABSTRACT: The Shifted Exponential Distribution is widely used in engineering and industrial applications. Goodness-of-fit procedures are revisited. Shapiro-Wilk test, Shapiro-Francia test, Likelihood-ratio Anderson-Darling test, and Likelihood-ratio Kolmogorov-Smirnov test are implemented in shifted exponential distribution. A comparative study with usual Anderson-Darling, Chi-square, Cramer-von-mises, and Kolmogorov-Smirnov tests in testing for shifted exponential distribution is performed using simulation. The Likelihood-ratio Anderson-Darling test is found to be of most powerful irrespective of variant alternatives considered.