linear regressionregression and scale equivariant estimatorsMonte Carlo testIn this paper we provide a general solution to the problem of controlling the probability of a type I error in normality tests for the disturbances in linear reSocial Science Electronic Publishing...
Normality tests check if a population significantly differs from a normal distribution. Available in Excel with the XLSTAT add-on statistical software.
The lecture entitledLinear regression - Hypothesis testingdiscusses how to carry outhypothesis testson the coefficients of a linear regression model in the cases discussed above, that is, when the OLS estimator is asymptotically normal and a consistent estimator of the asymptotic covariance matrix is a...
The effects of model misspecification and non-normality of errors on estimates of coefficients are investigated in the multiple regression model.The expressions for the asymptotic expectation and variance of the M estimators, based on the Huber function, and a modified version of the M estimators ...
Linear Least Squares is a very well known technique for parameter estimation, which is used even when sub-optimal, because of its very low computational re... M Krikheli,A Leshem 被引量: 1发表: 2017年 A Test of U-type for Goodness-of-fit in Regression Models Through Martingale Difference...
Linear regression and correlation Spearman rank correlation Polynomial regression Analysis of covariance Multiple regression Simple logistic regression Multiple logistic regression Multiple tests Multiple comparisons Meta-analysis Miscellany Using spreadsheets for statistics Displaying results in graphs Displaying results...
Robustness to non-normality of the errors of both the null distribution and power of the Durbin-Watson (DW) test is examined in linear regression models with and without an intercept. Nominal critical regions (i.e., critical regions assuming the errors to be normal) are obtained exactly by ...
Data was checked regarding the assumptions for calculating a multiple linear regression using various analyses. Finally, in order to test whether the distress associated with the MF in the three dimensions sexual fantasies, masturbation fantasies, and sexual behavior is predicted by the simultaneous ...
We identified all 141,973 people at highest risk of diabetes in our population, and screened 10,000 of these with paired fasting plasma glucose and HbA1c for randomisation into a very large Type 2 diabetes prevention trial. Baseline discordance rate between highest risk categories was 45.6%, ...
In Section 2 we give a brief discussion of the sample mean problem. In Section 3 we discuss the linear regression model, where it is assumed that for certain specified functions h(ε), E[h(ε)|x] does not depend on x. In Section 4 we give a brief discussion of the special case ...