In this article, we examine F, Wald, LR, and LM test statistics in the linear regression model using vector geometry. These four statistics are expressed as a function of one random variable-the angle between the vectors of unrestricted and restricted residuals. The exact and nominal sampling distributions of this angle are derived to illuminate some facts about the four statistics. Alternatively, we offer that the angle itself can be used as a test statistic. A Mathematica program is also written to carry out the approach
Regression analysis is traditionally presented in algebraic equations and matrices. However, it can ...
summary:In regular multivariate regression model a test of linear hypothesis is dependent on a struc...
This thesis investigates the statistical properties of preliminary test estimators of linear models ...
The advantage of the geometric approach to linear model and its applications is known to many author...
In the present work we study the problem of k regression lines in the general linear model. First we...
The standard LM tests for spatial dependence in linear and panel regressions are derived under the n...
Keck C, Mayer A, Rosseel Y. Overview and evaluation of various frequentist test statistics using con...
Multivariate analysis, Wilks’ lambda distribution, MANOVA, Canonical correlation, Random rotation, I...
We show that three convenient statistical properties that are known to hold forthe linear model with...
R. A. Fisher's early work on linear models relied heavily on his knowledge of n-dimensional geometry...
In this note we extend the Left-Spherically Distributed linear scores test (LSD) of Lauter, Glimm an...
When coefficients of endogenous variables are known, it is demonstrated that two-stage least squares...
The Wald, likelihood ratio and Lagrange multiplier test statistics are commonly used to test linear ...
Publisher: SAGE Publications LtdAre we cautious enough when using linear models? After the 1970s lin...
Using linear algebra this thesis developed linear regression analysis including analysis of variance...
Regression analysis is traditionally presented in algebraic equations and matrices. However, it can ...
summary:In regular multivariate regression model a test of linear hypothesis is dependent on a struc...
This thesis investigates the statistical properties of preliminary test estimators of linear models ...
The advantage of the geometric approach to linear model and its applications is known to many author...
In the present work we study the problem of k regression lines in the general linear model. First we...
The standard LM tests for spatial dependence in linear and panel regressions are derived under the n...
Keck C, Mayer A, Rosseel Y. Overview and evaluation of various frequentist test statistics using con...
Multivariate analysis, Wilks’ lambda distribution, MANOVA, Canonical correlation, Random rotation, I...
We show that three convenient statistical properties that are known to hold forthe linear model with...
R. A. Fisher's early work on linear models relied heavily on his knowledge of n-dimensional geometry...
In this note we extend the Left-Spherically Distributed linear scores test (LSD) of Lauter, Glimm an...
When coefficients of endogenous variables are known, it is demonstrated that two-stage least squares...
The Wald, likelihood ratio and Lagrange multiplier test statistics are commonly used to test linear ...
Publisher: SAGE Publications LtdAre we cautious enough when using linear models? After the 1970s lin...
Using linear algebra this thesis developed linear regression analysis including analysis of variance...
Regression analysis is traditionally presented in algebraic equations and matrices. However, it can ...
summary:In regular multivariate regression model a test of linear hypothesis is dependent on a struc...
This thesis investigates the statistical properties of preliminary test estimators of linear models ...