On netman-type smooth tests of fit
From MaRDI portal
Publication:3359592
DOI10.1080/02331889008802265zbMath0733.62051OpenAlexW2061856355MaRDI QIDQ3359592
Tadeusz Inglot, Teresa Ledwina, Teresa Jurlewicz
Publication date: 1990
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331889008802265
empirical processstrong approximationchi-square testcompletely specified null distributionsKomlós, Major and Tusnády embeddingMonte Carlo powerNeyman's smooth testsquadratic tests of fit
Related Items (8)
Comparing two mixing densities in nonparametric mixture models ⋮ Principal component decomposition of non-parametric tests ⋮ Data driven versions of pearson's chisquare test for uniformity ⋮ Data driven smooth test for paired populations ⋮ Limiting values of large deviation probabilities of quadratic statistics ⋮ Detection of non-Gaussianity ⋮ A SMOOTH TEST FOR THE EQUALITY OF DISTRIBUTIONS ⋮ Estimating the mean and its effects on Neyman smooth tests of normality for ARMA models
Cites Work
- On moderate and large deviations in multinomial distributions
- Local asymptotics for linear rank statistics with estimated score functions
- Addendum to: ``Local asymptotics for linear rank statistics with estimated score functions
- On efficiency and optimality of quadratic tests
- Tests based on linear combinations of the orthogonal components of the Cramer-von Mises statistic when parameters are estimated
- Central limit theorems for multinomial sums
- Asymptotic power properties of the Cramer-von Mises test under contiguous alternatives
- A condition under which the Pitman and Bahadur approaches to efficiency coincide
- Large sample theory for U-statistics and tests of fit
- Asymptotic properties of tests based on linear combinations of the orthogonal components of the Cramer-von Mises statistic
- An alternative formulation of Neyman's smooth goodness of fit tests under composite alternatives
- On Tests of Normality and Other Tests of Goodness of Fit Based on Distance Methods
- THE CHOICE OF CELLS IN CHI–SQUARE TESTS
- THE DISTRIBUTION OF GENERAL QUADRATIC FORMS IN NORMA
- Neyman-type smooth tests for location-scale families
- Algorithm AS 155: The Distribution of a Linear Combination of χ 2 Random Variables
- A chi-squabe statistic for goodies-of-fit tests within the exponential family
- Locally asymptotically most stringent tests and Lagrangian multiplier tests of linear hypotheses
This page was built for publication: On netman-type smooth tests of fit
