New Location Model Based on Automatic Trimming and Smoothing Approaches
Location Model is a classification approach that capable to deal with mixed binary and continuous variables at once.The binary variables create segmentation in the groups called cells whilst the continuous variables measure the differences between groups based on information inside the cells.It is i...
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| Format: | Article |
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American Scientific Publishers
2018
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| _version_ | 1825805097447194624 |
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| author | Hamid, Hashibah |
| author_facet | Hamid, Hashibah |
| author_sort | Hamid, Hashibah |
| collection | UUM |
| description | Location Model is a classification approach that capable to deal with mixed binary and continuous variables at once.The binary variables create segmentation in the groups called cells whilst the continuous variables measure the differences between groups based on information inside the cells.It is important to note that location model is biased and even impossible to be constructed when involving some empty cells.Interestingly from previous studies, smoothing approach managed to remedy the effects of some empty cells.However, numerical analysis has demonstrated that the performances of the location model based on smoothing approach are good in most situations except if there are outliers in the sample.Thus, the presence of outliers has alarmed us to further investigating the performance of the location model.Therefore, in this paper, we develop a new methodology of location model producing new model called automatic trimmed location model through new estimators resulting from an integration of automatic trimming and smoothing approaches in addressing both issues of outliers and empty cells simultaneously.The results have confirmed that the new methodology developed as well as the new location model produced offer another potential tools to practitioners, which possible to be considered in classification problems when the data samples contain outliers and at the same time could resolve the crisis of some empty cells of the location model. Copyright |
| first_indexed | 2024-07-04T06:26:18Z |
| format | Article |
| id | uum-24384 |
| institution | Universiti Utara Malaysia |
| last_indexed | 2024-07-04T06:26:18Z |
| publishDate | 2018 |
| publisher | American Scientific Publishers |
| record_format | eprints |
| spelling | uum-243842018-07-04T08:00:52Z https://repo.uum.edu.my/id/eprint/24384/ New Location Model Based on Automatic Trimming and Smoothing Approaches Hamid, Hashibah QA75 Electronic computers. Computer science Location Model is a classification approach that capable to deal with mixed binary and continuous variables at once.The binary variables create segmentation in the groups called cells whilst the continuous variables measure the differences between groups based on information inside the cells.It is important to note that location model is biased and even impossible to be constructed when involving some empty cells.Interestingly from previous studies, smoothing approach managed to remedy the effects of some empty cells.However, numerical analysis has demonstrated that the performances of the location model based on smoothing approach are good in most situations except if there are outliers in the sample.Thus, the presence of outliers has alarmed us to further investigating the performance of the location model.Therefore, in this paper, we develop a new methodology of location model producing new model called automatic trimmed location model through new estimators resulting from an integration of automatic trimming and smoothing approaches in addressing both issues of outliers and empty cells simultaneously.The results have confirmed that the new methodology developed as well as the new location model produced offer another potential tools to practitioners, which possible to be considered in classification problems when the data samples contain outliers and at the same time could resolve the crisis of some empty cells of the location model. Copyright American Scientific Publishers 2018 Article PeerReviewed Hamid, Hashibah (2018) New Location Model Based on Automatic Trimming and Smoothing Approaches. Journal of Computational and Theoretical Nanoscience, 15 (2). pp. 493-499. ISSN 1546-1955 http://doi.org/10.1166/jctn.2018.7148 doi:10.1166/jctn.2018.7148 doi:10.1166/jctn.2018.7148 |
| spellingShingle | QA75 Electronic computers. Computer science Hamid, Hashibah New Location Model Based on Automatic Trimming and Smoothing Approaches |
| title | New Location Model Based on Automatic Trimming and Smoothing Approaches |
| title_full | New Location Model Based on Automatic Trimming and Smoothing Approaches |
| title_fullStr | New Location Model Based on Automatic Trimming and Smoothing Approaches |
| title_full_unstemmed | New Location Model Based on Automatic Trimming and Smoothing Approaches |
| title_short | New Location Model Based on Automatic Trimming and Smoothing Approaches |
| title_sort | new location model based on automatic trimming and smoothing approaches |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT hamidhashibah newlocationmodelbasedonautomatictrimmingandsmoothingapproaches |