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http://dx.doi.org/10.7465/jkdi.2013.24.2.333

Estimable functions of less than full rank linear model  

Choi, Jaesung (Department of Statistics, Keimyung University)
Publication Information
Journal of the Korean Data and Information Science Society / v.24, no.2, 2013 , pp. 333-339 More about this Journal
Abstract
This paper discusses a method for getting a basis set of estimable functions of less than full rank linear model. Since model parameters are not estimable estimable functions should be identified for making inferences proper about them. So, it suggests a method of using full rank factorization of model matrix to find estimable functions in easy way. Although they might be obtained in many different ways of using model matrix, the suggested full rank factorization technique could be one of much easier methods. It also discusses how to use projection matrix to identify estimable functions.
Keywords
Basis; estimable function; full rank factorization; less than full rank; projection matrix;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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