Specifying the Regression Model . Next, specify the linear regression model with a MODEL statement. The MODEL statement in PROC TSCSREG is specified like the MODEL statement in other SAS regression ...

Duration: 12h. In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial ...

9.1.3 Model quality and statistical significance. We will come back to the question of whether the linear model is valid (whether it satisfies the assumptions of the technique). First we want to ...

We will also study the properties of least squares, and describe some goodness of fit metrics for linear regression models. Module 3 | Inference in Linear Regression. Duration: 9h. In this module, we ...

Samuel Müller, A. H. Welsh, Outlier Robust Model Selection in Linear Regression, Journal of the American Statistical Association, Vol. 100, No. 472 (Dec., 2005), pp. 1297-1310 Free online reading for ...

Xinyu Zhang, Chu-An Liu, INFERENCE AFTER MODEL AVERAGING IN LINEAR REGRESSION MODELS, Econometric Theory, Vol. 35, No. 4 (August 2019), pp. 816-841 Free online reading for over 10 million articles ...