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  4. Microsoft ExcelLinear Programming Model forDiscriminant Analysis Calculated withMicrosoft Excel Program
 
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Microsoft ExcelLinear Programming Model forDiscriminant Analysis Calculated withMicrosoft Excel Program

Journal
University of the Thai Chamber of Commerce Journal
Publisher(s)
Chulalongkorn University Printing House
University of the Thai Chamber of Commerce
Date Issued
2009
Author(s)
Lateh, Afifi
Pasunon, Prasopchai
Other Contributor(s)
University of the Thai Chamber of Commerce. Journal Editorial Office
Abstract
In this article, the writers present a linear programming model by Freed andGlover (Freed and Glover, 1986) for discriminant analysis calculated with MicrosoftExcel program. The strong point of linear programming for discriminant analysis is thatit can avoid assumptions of the parametric statistics approach, such as data foranalyzing from multivariate normal distributions, or equal covariance matrices ofindependent variables between groups, or normal distribution of residuals. There are5 parts in this article: 1) prelude, which contains the general characteristics ofdiscriminant analysis, 2) description of the concept of linear programming for discriminantanalysis, 3) calculation of the linear programming using Microsoft Excel program, whichbegins with the first step and proceeds until arriving at the optimal results in themodel, 4) interpretation of calculations, and 5) conclusion in which the writers givesome suggestions for using this method.
Subject(s)
Journals
Applied Statistics
ISSN
0125-2437
Access Rights
public
Rights
This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Rights Holder(s)
University of the Thai Chamber of Commerce
Bibliographic Citation
Afifi Lateh, Prasopchai Pasunon (2009) Microsoft ExcelLinear Programming Model forDiscriminant Analysis Calculated withMicrosoft Excel Program. University of the Thai Chamber of Commerce Journal Vol.29 No.3.
File(s)
 607fulltext.pdf (1.61 MB)
Views
8
Acquisition Date
Mar 31, 2023
Downloads
15
Acquisition Date
Mar 31, 2023
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