Median polish with covariate on before and after

The method of median polish with covariate is use for verifying the relationship between before and after treatment data. The relationship is base on the yield of grain crops for both before and after data in a classification of contingency table. The main effects such as grand, column and row effec...

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Main Authors: I., Ajoge, Adam, Mohd. Bakri, Fitrianto, Anwar, Sadiq, A. Y.
Format: Article
Language:English
Published: International Organization of Scientific Research 2016
Online Access:http://psasir.upm.edu.my/id/eprint/54774/
http://psasir.upm.edu.my/id/eprint/54774/1/Median%20polish%20with%20covariate%20on%20before%20and%20after.pdf
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author I., Ajoge
Adam, Mohd. Bakri
Fitrianto, Anwar
Sadiq, A. Y.
author_facet I., Ajoge
Adam, Mohd. Bakri
Fitrianto, Anwar
Sadiq, A. Y.
author_sort I., Ajoge
building UPM Institutional Repository
collection Online Access
description The method of median polish with covariate is use for verifying the relationship between before and after treatment data. The relationship is base on the yield of grain crops for both before and after data in a classification of contingency table. The main effects such as grand, column and row effects were estimated using median polish algorithm. Logarithm transformation of data before applying median polish is done to obtain reasonable results as well as finding the relationship between before and after treatment data. The data to be transformed must be positive. The results of median polish with covariate were evaluated based on the computation and findings showed that the median polish with covariate indicated a relationship between before and after treatment data.
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spelling upm-547742022-04-04T08:18:18Z http://psasir.upm.edu.my/id/eprint/54774/ Median polish with covariate on before and after I., Ajoge Adam, Mohd. Bakri Fitrianto, Anwar Sadiq, A. Y. The method of median polish with covariate is use for verifying the relationship between before and after treatment data. The relationship is base on the yield of grain crops for both before and after data in a classification of contingency table. The main effects such as grand, column and row effects were estimated using median polish algorithm. Logarithm transformation of data before applying median polish is done to obtain reasonable results as well as finding the relationship between before and after treatment data. The data to be transformed must be positive. The results of median polish with covariate were evaluated based on the computation and findings showed that the median polish with covariate indicated a relationship between before and after treatment data. International Organization of Scientific Research 2016 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/54774/1/Median%20polish%20with%20covariate%20on%20before%20and%20after.pdf I., Ajoge and Adam, Mohd. Bakri and Fitrianto, Anwar and Sadiq, A. Y. (2016) Median polish with covariate on before and after. IOSR Journal of Mathematics, 12 (3 ver. 4). pp. 64-73. ISSN 2319-765X; ESSN: 2278-5728 https://www.iosrjournals.org/iosr-jm/pages/v12(3)Version-4.html 10.9790/5728-1203046473
spellingShingle I., Ajoge
Adam, Mohd. Bakri
Fitrianto, Anwar
Sadiq, A. Y.
Median polish with covariate on before and after
title Median polish with covariate on before and after
title_full Median polish with covariate on before and after
title_fullStr Median polish with covariate on before and after
title_full_unstemmed Median polish with covariate on before and after
title_short Median polish with covariate on before and after
title_sort median polish with covariate on before and after
url http://psasir.upm.edu.my/id/eprint/54774/
http://psasir.upm.edu.my/id/eprint/54774/
http://psasir.upm.edu.my/id/eprint/54774/
http://psasir.upm.edu.my/id/eprint/54774/1/Median%20polish%20with%20covariate%20on%20before%20and%20after.pdf