Modeling statistic distributions for nonparametric goodness-of-fit criteria for testing complex hypotheses with respect to the inverse Gaussian law

DOI10.1134/S000511791007009XzbMath1203.62080OpenAlexW2028947611MaRDI QIDQ612121

N. Saaidia, Mikhail S. Nikulin, Boris Yu. Lemeshko, Stanislav B. Lemeshko

Publication date: 3 January 2011

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s000511791007009x

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Exact distribution theory in statistics (62E15) Statistical tables (62Q05)

Related Items (1)

An Empirical Analysis of Some Nonparametric Goodness-of-Fit Tests for Censored Data

Cites Work

• Probability distributions of the Kolmogorov and omega-square statistics for continuous distributions with shift and scale parameters
• A variant of the generalized omega-square statistic
• Weak convergence of the sample distribution function when parameters are estimated
• On Tests of Normality and Other Tests of Goodness of Fit Based on Distance Methods
• The Kolmogorov-Smirnov, Cramer-von Mises Tests
• A chi-squabe statistic for goodies-of-fit tests within the exponential family
• Kolmogorov-Smirnov tests when parameters are estimated with applications to tests of exponentiality and tests on spacings
• Asymptotically Pearson Transformations
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
• A Test of Goodness of Fit
• The Cramer-Smirnov Test in the Parametric Case
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