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Title: Pitman efficiencies of $L_p$-goodness-of-fit tests (English)
Author: Beirlant, Jan
Author: Györfi, László
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 30
Issue: 3
Year: 1994
Pages: 223-232
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Category: math
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MSC: 62G10
MSC: 62G20
idZBL: Zbl 0812.62050
idMR: MR1291925
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Date available: 2009-09-24T18:46:57Z
Last updated: 2012-06-06
Stable URL: http://hdl.handle.net/10338.dmlcz/125168
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Reference: [1] J. Beirlant L. Györfi, G. Lugosi: On the asymptotic normality of the $L_1$- and $L_2$-errors in histogram density estimation.Canad. J. Statist. (to appear 1995).
Reference: [2] J. Beirlant, D. M. Mason: On the asymptotic normality of $L_p$ norms of empirical functionals.Mathem. Methods Statist. (to appear 1995). MR 1324687
Reference: [3] L. Devroye, L. Györfi: Nonparametric Density Estimation: The $L_1$-View.Wiley, New York 1985. MR 0780746
Reference: [4] L. Györfi, E. C. van der Meulen: A consistent goodness-of-fit test based on the total variation distance.In: Nonparametric Functional Estimation and Related Topics (G. Roussas, ed.), Kluwer Academic Publishers, Dordrecht 1991, pp. 631-645. MR 1154355
Reference: [5] C. Morris: Central limit theorems for multinomial sums.Ann. Statist. 3 (1975), 165-188. Zbl 0305.62013, MR 0370871
Reference: [6] M. P. Quine, J. Robinson: Efficiences of chi-square and likelihood ratio goodness-of-fit tests.Ann. Statist. 13 (1985), 727-742. MR 0790568
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