Asymptotic distribution of a Cramer-von Mises type statistic for testing symmetry when the center is estimated
From MaRDI portal
Publication:1169770
DOI10.1007/BF02480914zbMath0495.62024OpenAlexW2095083791MaRDI QIDQ1169770
Publication date: 1981
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02480914
Brownian bridgeempirical distribution functiontesting symmetryCramer-von Mises type statisticestimating center of symmetryvon Mises derivative
Related Items (11)
Nonparametric tests for conditional symmetry in dynamic models ⋮ A Bootstrap Test for Symmetry of Dependent Data Based on a Kolmogorov–Smirnov Type Statistic ⋮ Testing Symmetry of the Error Distribution in Nonlinear Heteroscedastic Models ⋮ Measuring the symmetry of model errors for varying coefficient regression models based on correlation coefficient ⋮ A Monte Carlo evaluation of the performance of two new tests for symmetry ⋮ Asymptotic behavior of functionals of empirical distribution functions for the two-sample problem ⋮ Invariant tests for symmetry about an unspecified point based on the empirical characteristic function. ⋮ A note on testing symmetry of the error distribution in linear regression models ⋮ Testing for symmetry in multivariate distributions ⋮ On Testing for the Nullity of Some Skewness Coefficients ⋮ Nonparametric tests for conditional symmetry
Cites Work
- A Cramer Von-Mises Type Statistic for Testing Symmetry
- Weak Convergence of a Two-sample Empirical Process and a New Approach to Chernoff-Savage Theorems
- Mises’ Theorem on the Asymptotic Behavior of Functionals of Empirical Distribution Functions and Its Statistical Applications
- Unnamed Item
- Unnamed Item
This page was built for publication: Asymptotic distribution of a Cramer-von Mises type statistic for testing symmetry when the center is estimated
