Omnibus goodness of fit test based on quadratic distance
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Publication:3390339
DOI10.1080/00949655.2021.1947276OpenAlexW3187516134MaRDI QIDQ3390339
Publication date: 24 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2021.1947276
bootstrapgoodness of fit testBickel-Rosenblatt testAR modelsquadratic distance testspectral decomposition of kernel
Cites Work
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- Validity of the parametric bootstrap for goodness-of-fit testing in semiparametric models
- Parametric bootstrap tests for continuous and discrete distributions
- Time series: theory and methods
- The power and optimal kernel of the Bickel-Rosenblatt test for goodness of fit
- Goodness-of-fit statistics for discrete multivariate data
- On the Bickel-Rosenblatt test for first-order autoregressive models
- Goodness of fit test for discrete random variables
- A maximum entropy type test of fit
- Maximum entropy test for GARCH models
- On residual empirical processes of stochastic regression models with applications to time series
- On some global measures of the deviations of density function estimates
- Bootstrap based goodness-of-fit-tests
- Quadratic distances on probabilities: A unified foundation
- Weak convergence of the sample distribution function when parameters are estimated
- Goodness-of-fit testing based on a weighted bootstrap: A fast large-sample alternative to the parametric bootstrap
- Maximum Entropy Test for Autoregressive Models
- Empirical‐distribution‐function goodness‐of‐fit tests for discrete models
- On entropy goodness-of-fit test based on integrated distribution function
- Bootstrap entropy test for general location-scale time series models with heteroscedasticity
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