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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Volume were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2005, 10(2), 165-177; doi:10.3390/mca10020165

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

Egyptian Air Force, Cairo, Egypt
Zagazig University, Zagazig, Egypt
Authors to whom correspondence should be addressed.
Published: 1 August 2005
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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
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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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.

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