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Abstract

The goodness-of-fit test of Towhidi and Salmanpour (2007), which is based on the empirical characteristic function is used for testing the fit of the generalized exponential distribution. Monte Carlo procedures are employed to obtain the empirical percentage points for the test statistic. In addition, an extensive power study is conducted to compare the performance of this test against the well known goodness-of-fit tests which are based on empirical distribution function.

Keywords

goodness-of-fit tests empirical characteristic function generalized exponential distribution maximum likelihood estimation empirical distribution function

Article Details

Author Biography

Suzanne Abdel-Rahman Allam, Institute of Statistical Studies and Research, Cairo University, Egypt

Assistant Lecturer, Mathematical Statistics Department,
Institute of Statistical Studies and Research, Cairo University, Egypt.
How to Cite
Allam, S. A.-R. (2010). EMPIRICAL CHARACTERISTIC FUNCTION APPROACH TO GOODNESS-OF-FIT TESTS FOR THE GENERALIZED EXPONENTIAL DISTRIBUTION. Pakistan Journal of Statistics and Operation Research, 7(1), 67-86. https://doi.org/10.18187/pjsor.v7i1.165