Abstract
Shrinkage type estimators are developed for the intercept parameter of a simple linear regression model and the case when it is suspected a priori that the slope parameter is equal to some specific value is considered. Three different estimators of the intercept parameters are examined. The relative performances of the estimators are investigated based on a simulation study of the biases and mean squared errors. The associated bootstrap confidence intervals are also studied and their performance is evaluated.
DOI
10.22237/jmasm/1304223360
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
