Ratio of linear function of parameters and testing hypothesis of the combination two split plot designs

The aim of this paper is going to analyze comparison of ratio of parameters and testing various hypotheses of the combination two split plot designs. The combination of two fixed effect split plot designs have constrains on its parameter and the model is non full rank model. First we transform the m...

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Main Authors: Usman, Mustofa, Elfaki, Faiz Ahmed Mohamed, Daoud, Jamal Ibrahim
Format: Article
Language:English
Published: IDOSI Publications 2013
Subjects:
Online Access:http://irep.iium.edu.my/30712/
http://irep.iium.edu.my/30712/1/Jamal_-MEJSR-1.pdf
id iium-30712
recordtype eprints
spelling iium-307122013-07-25T02:12:16Z http://irep.iium.edu.my/30712/ Ratio of linear function of parameters and testing hypothesis of the combination two split plot designs Usman, Mustofa Elfaki, Faiz Ahmed Mohamed Daoud, Jamal Ibrahim HA154 Statistical data The aim of this paper is going to analyze comparison of ratio of parameters and testing various hypotheses of the combination two split plot designs. The combination of two fixed effect split plot designs have constrains on its parameter and the model is non full rank model. First we transform the model into two models, one model related to whole plots and the other model related to split plot. By Model reduction Methods, we transform each model into unconstraint model with full column rank. Based on these unconstraint models estimation, ratio of linear function of parameters by using Fieller’s Theorem and testing various hypotheses will be developed. IDOSI Publications 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/30712/1/Jamal_-MEJSR-1.pdf Usman, Mustofa and Elfaki, Faiz Ahmed Mohamed and Daoud, Jamal Ibrahim (2013) Ratio of linear function of parameters and testing hypothesis of the combination two split plot designs. Middle-East Journal of Scientific Research, 13. pp. 109-115. ISSN 1990-9233
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic HA154 Statistical data
spellingShingle HA154 Statistical data
Usman, Mustofa
Elfaki, Faiz Ahmed Mohamed
Daoud, Jamal Ibrahim
Ratio of linear function of parameters and testing hypothesis of the combination two split plot designs
description The aim of this paper is going to analyze comparison of ratio of parameters and testing various hypotheses of the combination two split plot designs. The combination of two fixed effect split plot designs have constrains on its parameter and the model is non full rank model. First we transform the model into two models, one model related to whole plots and the other model related to split plot. By Model reduction Methods, we transform each model into unconstraint model with full column rank. Based on these unconstraint models estimation, ratio of linear function of parameters by using Fieller’s Theorem and testing various hypotheses will be developed.
format Article
author Usman, Mustofa
Elfaki, Faiz Ahmed Mohamed
Daoud, Jamal Ibrahim
author_facet Usman, Mustofa
Elfaki, Faiz Ahmed Mohamed
Daoud, Jamal Ibrahim
author_sort Usman, Mustofa
title Ratio of linear function of parameters and testing hypothesis of the combination two split plot designs
title_short Ratio of linear function of parameters and testing hypothesis of the combination two split plot designs
title_full Ratio of linear function of parameters and testing hypothesis of the combination two split plot designs
title_fullStr Ratio of linear function of parameters and testing hypothesis of the combination two split plot designs
title_full_unstemmed Ratio of linear function of parameters and testing hypothesis of the combination two split plot designs
title_sort ratio of linear function of parameters and testing hypothesis of the combination two split plot designs
publisher IDOSI Publications
publishDate 2013
url http://irep.iium.edu.my/30712/
http://irep.iium.edu.my/30712/1/Jamal_-MEJSR-1.pdf
first_indexed 2023-09-18T20:44:56Z
last_indexed 2023-09-18T20:44:56Z
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