Goodness-Of-Fit For The Generalized Exponential Distribution
by Amal, S. Hassan.
Distribution called generalized exponential or exponentiated
was introduced and studied quite extensively by the authors
(see Gupta and Kundu, 1999, 2001a, 2001b, 2002, 2003). A class of
goodness-of-fit tests for
the generalized exponential distribution with estimated parameter is
proposed. The tests are
based on the empirical distribution function. These test statistics are
available when the
hypothesized distribution is completely specified. When the parameters of
exponential distribution are not known and must be estimated from the sample
data, the standard
Tables for these test statistics are not valid. This article uses Monte
Carlo and Pearson system
techniques to create Tables of critical values for such situations.
Moreover, the power of
the proposed test statistics is investigated for a number of alternative
The results of the power studies showed that the test statistic proposed by
Shimokawa (1999) is the most powerful goodness-of-fit test among the
Anderson-Darling test statistic, Cramer–von Mises test statistic,
Kolmogorov-Smirnov statistic, Watson statistic, Critical values, Generalized
distribution, Power test
Amal, S. Hassan, amal52_soilman @yahoo.com
READING THE ARTICLE: You can read the article in
portable document (.pdf) format (507004 bytes.)
NOTE: The content of this article is the intellectual property of the authors, who retains all rights to future publication.
This page has been accessed 4088 times since July 24, 2006.
Return to the Home Page.