Vanishing shortcoming of data driven neyman's tests-Reference-Cited by-同舟云学术

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Vanishing shortcoming of data driven neyman's tests

Published:1998 Issue: Volume: Page:811-829
ISSN:
Container-title:Asymptotic Methods in Probability and Statistics
language:
Short-container-title:

Author:

Inglot Tadeusz,Kallenberg Wilbert C.M.,Ledwina Teresa

Publisher

Elsevier

Reference27 articles.

1. Approximation of density functions by sequences, of exponential families;Barron;Ann. Statist.,1991

2. Testing for goodness of fit: a new approach;Bickel,1992

3. Data driven versions of Pearson's chi-square test for uniformity;Bogdan;J. Statist. Comput. Simulation,1995

4. Testing uniformity via log-spline modeling;Bogdan;Statistics,1996

5. The Cramér-Feller-Petrov large deviation theorem for triangular arrays;Book,1976

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1. A SMOOTH TEST FOR THE EQUALITY OF DISTRIBUTIONS;Econometric Theory;2012-07-30

2. Intermediate efficiency by shifting alternatives and evaluation of power;Journal of Statistical Planning and Inference;2010-11

3. Asymptotic optimality of new adaptive test in regression model;Annales de l'Institut Henri Poincare (B) Probability and Statistics;2006-09

4. On consistent minimax distinguishability and intermediate efficiency of Cramér–von Mises test;Journal of Statistical Planning and Inference;2004-09

5. A data driven smooth test for circular uniformity;Annals of the Institute of Statistical Mathematics;2002

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