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Improving least squares regression estimators using linear goal programming

Ahmad, Maizah Hura and Lau, Chik Kong (2006) Improving least squares regression estimators using linear goal programming. In: Recent Advances in Probability and Statistics. Penerbit UTM, Johor , 51-66 . ISBN 978-983-52-0612-2

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Official URL: http://www.penerbit.utm.my/bookchapterdoc/FS/bookc...

Abstract

Regression analysis is an approach used to study the relationships between variables, especially for the purpose of understanding how one variable relates or depends on one or more of other variables. This is done by fitting straight lines, curves, or surfaces, to sets of observations. The equation is then used to estimate values of one dependent variable from known values of independent variables. One of the most frequently used procedures for estimating regression coefficients is the least squares method

Item Type:Book Section
Subjects:Q Science
Divisions:Science
ID Code:25727
Deposited By: Mrs Liza Porijo
Deposited On:25 May 2012 04:13
Last Modified:05 Feb 2017 03:18

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