Testing Normality in One-Dimensional and Multi-Dimensional Linear Regression
- 1 June 1978
- journal article
- Published by Society for Industrial & Applied Mathematics (SIAM) in Theory of Probability and Its Applications
- Vol. 22 (3) , 591-602
- https://doi.org/10.1137/1122073
Abstract
No abstract availableThis publication has 5 references indexed in Scilit:
- Testing the Hypothesis That a Large-Sized Multidimensional Sample is NormalTheory of Probability and Its Applications, 1974
- Weak Convergence of the Sample Distribution Function when Parameters are EstimatedThe Annals of Statistics, 1973
- On the Kolmogorov-Smirnov Test for Normality with Mean and Variance UnknownJournal of the American Statistical Association, 1967
- Weak convergence of probabilities on nonseparable metric spaces and empirical measures on Euclidean spacesIllinois Journal of Mathematics, 1966
- On Tests of Normality and Other Tests of Goodness of Fit Based on Distance MethodsThe Annals of Mathematical Statistics, 1955