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Title: Test for exponentiality against Weibull and gamma decreasing hazard rate alternatives (English)
Author: Meintanis, Simos G.
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 43
Issue: 3
Year: 2007
Pages: 307-314
Summary lang: English
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Category: math
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Summary: A sub-exponential Weibull random variable may be expressed as a quotient of a unit exponential to an independent strictly positive stable random variable. Based on this property, we propose a test for exponentiality which is consistent against Weibull and Gamma distributions with shape parameter less than unity. A comparison with other procedures is also included. (English)
Keyword: goodness-of-fit test
Keyword: empirical Laplace transform
Keyword: likelihood test
MSC: 62F03
MSC: 62F05
idMR: MR2362720
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Date available: 2009-09-24T20:23:58Z
Last updated: 2012-06-06
Stable URL: http://hdl.handle.net/10338.dmlcz/135775
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Reference: [1] Chen, Zhenmin: Statistical inference about the shape parameter of the Weibull distribution.Statist. Probab. Lett. 36 (1997), 85–90 Zbl 0916.62025, MR 1491077
Reference: [2] Meintanis S. G.: Omnibus tests for strictly positive stable laws based on the empirical Laplace transform.Math. Meth. Statist. 14 (2005), 468–478 MR 2210542
Reference: [3] Rublík F.: Some tests on exponential populations.In: Probastat 1994, Tatra Mountains Math. Publ. 7 (1996), 229–235 MR 1408476
Reference: [4] Stehlík M.: The exact LR test of the scale in the Gamma family.In: Probastat 2002, Tatra Mountains Math. Publ. 26 (2003), 381–390 MR 2055191
Reference: [5] Stehlík M.: Exact likelihood ratio scale and homogeneity testing of some loss processes.Statist. Probab. Lett. 76 (2006), 19–26 Zbl 1085.62018, MR 2213239
Reference: [6] Wong P. G., Wong S. P.: A curtailed test for the shape parameter of the Weibull distribution.Metrika 29 (1982), 203–209 Zbl 0492.62022, MR 0685566
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