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Modified goodness-of-fit test for the laplace distribution

 

作者: Vincent C. Yen,   Albert H. Moore,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1988）
卷期: Volume 17, issue 1  

页码: 275-281

 

ISSN:0361-0918

 

年代: 1988

 

DOI:10.1080/03610918808812661

 

出版商: Marcel Dekker, Inc.

 

关键词: Anderson-Darling;Craḿer-von Mises;Empirical Distribution Function;Monte Carlo

 

数据来源: Taylor

 

摘要:

In this paper critical values of the Anderson-Darling and Craḿer-von Mises are given for the Laplace distribution for maximum likelihood estimation of the location and scale parameters. The power of these tests is investigated for a number of alternative distributions. The Anderson-Darling test yields higher power generally than the Craḿer-von Mises test.

 

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