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Article

A New Modified Goodness of Fit Tests for Type 2 Censored Sample from Normal Population

by
Ahmed M. Sultan
1,* and
Hala Mahmoud Khaleel
2,*
1
Egyptian Air Force, Cairo, Egypt
2
Zagazig University, Zagazig, Egypt
*
Authors to whom correspondence should be addressed.
Math. Comput. Appl. 2005, 10(2), 165-177; https://doi.org/10.3390/mca10020165
Published: 1 August 2005
Versions Notes

Abstract

In this paper a procedure is considered for a new modified goodness of fit test for the normal type2 censored population. Samples of sizes 10(10)60 are chosen and censored at a specified percentage. Cramer von Mises and Anderson Darling test statistics are used with a nonparametric density estimator in place of the empirical distribution function. Tables of critical values for the two tests are generated. The power of the tests for nine alternative distributions is shown. Results show high power of discriminating the alternatives.
Keywords: Goodness of fit; Nonparametric estimation; Monte Carlo technique Goodness of fit; Nonparametric estimation; Monte Carlo technique

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MDPI and ACS Style

Sultan, A.M.; Khaleel, H.M. A New Modified Goodness of Fit Tests for Type 2 Censored Sample from Normal Population. Math. Comput. Appl. 2005, 10, 165-177. https://doi.org/10.3390/mca10020165

AMA Style

Sultan AM, Khaleel HM. A New Modified Goodness of Fit Tests for Type 2 Censored Sample from Normal Population. Mathematical and Computational Applications. 2005; 10(2):165-177. https://doi.org/10.3390/mca10020165

Chicago/Turabian Style

Sultan, Ahmed M., and Hala Mahmoud Khaleel. 2005. "A New Modified Goodness of Fit Tests for Type 2 Censored Sample from Normal Population" Mathematical and Computational Applications 10, no. 2: 165-177. https://doi.org/10.3390/mca10020165

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