Inference in simple regression for the intercept utilizing prior information on the slope
Author | Baklizi, Ayman |
Author | Yousif, Adil E. |
Available date | 2023-11-08T11:30:13Z |
Publication Date | 2011-01-01 |
Publication Name | Journal of Modern Applied Statistical Methods |
Identifier | http://dx.doi.org/10.22237/jmasm/1304223360 |
Citation | Baklizi, A., & Yousif, A. E. (2011). Inference in Simple Regression for the Intercept Utilizing Prior Information on the Slope. Journal of Modern Applied Statistical Methods, 10(1), 17. |
ISSN | 15389472 |
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. © 2011 JMASM, Inc. |
Language | en |
Publisher | Wayne State University |
Subject | Bootstrap intervals P-value Preliminary test estimator Prior information Shrinkage estimators |
Type | Article |
Pagination | 192-197 |
Issue Number | 1 |
Volume Number | 10 |
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Mathematics, Statistics & Physics [726 items ]