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Normalized spacings and goodness-of-fit tests
Abstract:This paper presents a number of goodness-of-fit tests based on normalized spacings. These tests can be used in the presence of unknown location and scale parameters. We considered the problems of testing for the normal, logistic and extreme-value distributions. An extensive Monte Carlo study is presented to compare the powers of some normality tests. Another Monte Carlo study on the powers of some extreme-value tests is also given. The power results show that our proposed tests are powerful against a wide range of alternatives
Keywords:Extreme-Value Distribution  Goodness-of-Fit Tests  Logistic Distribution  Normal Distribution  Spacings
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