Modeling statistic distributions for nonparametric goodness-of-fit criteria for testing complex hypotheses with respect to the inverse Gaussian law
From MaRDI portal
Publication:612121
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
Nonparametric hypothesis testing (62G10) Exact distribution theory in statistics (62E15) Statistical tables (62Q05)
Related Items (1)
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
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Modeling statistic distributions for nonparametric goodness-of-fit criteria for testing complex hypotheses with respect to the inverse Gaussian law
