Hamid, Hashibah (2015) A New Framework of Smoothed Location Model with Multiple Correspondence Analysis. In: A New Framework of Smoothed Location Model with Multiple Correspondence analysis, Universiti Teknologi Mara Merbok Kedah.

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Abstract

Theimplication of a considering large binary variabIes into the smoat€td location model wiU create too many multinomid &Us or lead to'high mnltinomid cells and mom worrying is that it will cause most of them are empty. We refer this sitnation as large sparsity pmblem. When large sparsity of midhomial d s occurs, the smoothed estimators of location model will be greatly biased, hence creating ffmtmting performance. At worsC the classscation rules m o t be constructed. This issue has attracted this paper to fWAer investigate and propose a new approach of the smoothed location model when facing with largk sparsiw prob1em.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	DOI 10.1007/978-981-10-2772_12
Uncontrolled Keywords:	CLassification rule . Empty cdls . Multiple carre sporrdence analysis . Large binary variables
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics
Divisions:	College of Arts and Sciences
Depositing User:	Mr. Che Hasan Hashim
Date Deposited:	26 Jul 2018 02:42
Last Modified:	26 Jul 2018 02:42
URI:	https://repo.uum.edu.my/id/eprint/24453

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