Analyzing a Regression Model with a General Positive Definite Covariance Matrix with The SAS System
نویسنده
چکیده
This article discusses and proposes a procedure for the analysis of the univariate linear regression model with known general positive definite covariance matrix with SAS/STAT software of the SAS System. Estimation of parameters, hypothesis testing, estimation under constraints and collinearity and influence diagnostics are reviewed. An example is given to illustrate the procedure.
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تاریخ انتشار 2010