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Paper Type ![]() |
Contributed Paper |
Title ![]() |
Model Recognition by using Principal Component Analysis (PCA) Approach |
Author ![]() |
Md.Siraj-Ud-Doulah[c], Sohel Rana*[a,b] and Habshah Midi[a,b] |
Email ![]() |
srana_stat@yahoo.com |
Abstract: In this paper, an alternative model recognition method is proposed by using Principal Component Analysis (PCA). This alternative approach is used to choose the optimum model for fitting the index of real compensation per hour (Y) and labor productivity per hour (X) in the business sector of the U.S. economy for the period 1960–1991. Comparison is then made with the existing methods such as ranks of the
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Start & End Page ![]() |
224 - 230 |
Received Date ![]() |
2012-03-05 |
Revised Date ![]() |
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Accepted Date ![]() |
2013-06-12 |
Full Text ![]() |
Download |
Keyword ![]() |
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Volume ![]() |
Vol.41 No.1 (JANUARY 2014) |
DOI |
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Citation |
Md.Siraj-Ud-Doulah[c] , Rana*[a S., B] , Midi[a H. and B] , Model Recognition by using Principal Component Analysis (PCA) Approach, Chiang Mai Journal of Science, 2014; 41(1): 224-230. |
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