Mathematical Programming for Estimation of Parameters in Random Blocks Model(Review)

Authors : Kamile ŞANLI, Ayşen APAYDIN

Pages : 41-48

View : 17 | Download : 11

Publication Date : 2010-03-24

Article Type : Other Papers

Abstract :Parameter estimation is quite important in Statistics. Statisticians are engaged in various studies on this problem. Use of optimization methods in the solution of this estimation problem have become common especially after 1970’s. The present study has the objective of estimating parameters in a random blocks design, completed random block design, balanced-incomplete random block design, and random block design in the case   of a missing observation model equation capitalizing on the significance of optimization methods in statistics. In this study, minimum mean absolute deviations insert ignore into journalissuearticles values(MINMAD); method is defined and suggests the goal programming insert ignore into journalissuearticles values(GP); model for estimation of parameters in the random blocks model equation and compares the results obtained with those given by least squares method insert ignore into journalissuearticles values(LSM);   Keywords: MINMAD, Goal Programming, Randomize Block Design, Completed Random Block Design, Balanced-incomplete   Random Block Design, Random Block Design in Case of a Missing Observation
Keywords : MINMAD, Goal Programming, Randomize Block Design, Completed Random Block