Abstract
Abstract Procedures frequently used to estimate partial regression coefficients in a linear regression model having missing regressor values are compared using quadratic risk as the criterion for superiority. A necessary and sufficient condition for the mean substitution method to be superior to the linear prediction method is developed. A necessary condition is also obtained.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
