A New Framework of Smoothed Location Model with Multiple Correspondence Analysis
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...
| Main Author: | |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/24453/1/iCMS%202015%20117-127.pdf |
| _version_ | 1825805110496722944 |
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| author | Hamid, Hashibah |
| author_facet | Hamid, Hashibah |
| author_sort | Hamid, Hashibah |
| collection | UUM |
| description | 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. |
| first_indexed | 2024-07-04T06:26:30Z |
| format | Conference or Workshop Item |
| id | uum-24453 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:26:30Z |
| publishDate | 2015 |
| record_format | eprints |
| spelling | uum-244532018-07-26T02:42:08Z https://repo.uum.edu.my/id/eprint/24453/ A New Framework of Smoothed Location Model with Multiple Correspondence Analysis Hamid, Hashibah Q Science (General) QA Mathematics 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. 2015 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/24453/1/iCMS%202015%20117-127.pdf 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. |
| spellingShingle | Q Science (General) QA Mathematics Hamid, Hashibah A New Framework of Smoothed Location Model with Multiple Correspondence Analysis |
| title | A New Framework of Smoothed Location
Model with Multiple Correspondence
Analysis |
| title_full | A New Framework of Smoothed Location
Model with Multiple Correspondence
Analysis |
| title_fullStr | A New Framework of Smoothed Location
Model with Multiple Correspondence
Analysis |
| title_full_unstemmed | A New Framework of Smoothed Location
Model with Multiple Correspondence
Analysis |
| title_short | A New Framework of Smoothed Location
Model with Multiple Correspondence
Analysis |
| title_sort | new framework of smoothed location model with multiple correspondence analysis |
| topic | Q Science (General) QA Mathematics |
| url | https://repo.uum.edu.my/id/eprint/24453/1/iCMS%202015%20117-127.pdf |
| work_keys_str_mv | AT hamidhashibah anewframeworkofsmoothedlocationmodelwithmultiplecorrespondenceanalysis AT hamidhashibah newframeworkofsmoothedlocationmodelwithmultiplecorrespondenceanalysis |