Testing goodness of fit for the distribution of errors in regression models
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- Type
- article
- Published
- 1979-04-01
- Cited by
- 75
- References
- 10
- OpenAlex
- https://openalex.org/W1986557989
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:119730725
Keywords
Goodness of fit, Mathematics, Statistics, Asymptotic distribution, Regression diagnostic
References
- Generalized Inverses, Wald's Method, and the Construction of Chi-Squared Tests of Fit
- Asymptotic Properties of Maximum Likelihood Estimators Based on Conditional Specification
- A chi-squabe statistic for goodies-of-fit tests within the exponential family
- Weak convergence of the sample distribution function when parameters are estimated
- Goodness of fit for the extreme value distribution
- Neyman's Smooth Goodness-of-Fit Test When the Hypothesis Is Composite
- The asymptotic properties of ML estimators when sampling from associated populations
- Pearson Chi-Square Test of Fit with Random Intervals. II. Non-Null Case.
- Theoretical Statistics
- Distribution Theory for Tests Based on the Sample Distribution Function
Cited by
- Some contributions to finite-sample analysis in three econometric models
- The limiting behavior of residuals from measurement error regressions
- Testing normality of regression disturbances: a Monte Carlo study of the Filliben test
- Privacy Preserving Regression Residual Analysis
- Sensitivity of Host-Seeking Nymphal Lone Star Ticks (Acari: Ixodidae) to Immersion in Heated Water
- A Lack-of-Fit Test for the Mean Function in a Generalized Linear Model
- Minimum Distance Estimation in a Linear Regression Model
- Testing for Parameter Constancy in Linear Regressions: An Empirical Distribution Function Approach
- Pearson‐type goodness‐of‐fit tests for regression
- Goodness-of-fit test with nuisance regression and scale
- A note on the residual empirical process in autoregressive models
- Testing normality of errors in regression models
- Recovered errors and normal diagnostics in regression
- On tests for normality of experimental error in ridge regression
- Testing regression disturbances for normality with stable alternatives: further monte carlo evidence
- Testing Conditional Independence Restrictions
- Goodness-of-fit tests for mixed model diagnostics
- Testing normality in autoregressive models
- Testing goodness of fit for the distribution of errors in multivariate linear models
- Comparing distribution functions of errors in linear models: A nonparametric approach
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