Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | masterThesis |
| منشور في: |
2020
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/143021/1/Siaka_Jawara_KFUPM_Thesis_Final.pdf |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513387253202945 |
|---|---|
| author | unknown |
| author_facet | unknown |
| author_role | author |
| dc.creator.*.fl_str_mv | unknown |
| dc.date.*.fl_str_mv | 2020 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/143021/1/Siaka_Jawara_KFUPM_Thesis_Final.pdf Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data. Masters thesis, King Fahd University of Petroleum and Minerals. |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/143021/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Math |
| dc.title.none.fl_str_mv | Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data |
| dc.type.none.fl_str_mv | Thesis NonPeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| id | KFUPM_5f9566d1b8272e9f47f31ede5f0f2c8e |
| identifier_str_mv | Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data. Masters thesis, King Fahd University of Petroleum and Minerals. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::143021 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional DataMathThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/143021/1/Siaka_Jawara_KFUPM_Thesis_Final.pdf Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/143021/2020info:eu-repo/semantics/openAccessunknownoai::1430212025-12-22T10:43:51Z |
| spellingShingle | Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data unknown Math |
| status_str | publishedVersion |
| title | Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data |
| title_full | Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data |
| title_fullStr | Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data |
| title_full_unstemmed | Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data |
| title_short | Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data |
| title_sort | Enhancing the Efficiency of Multivariate Control Charts in the Presence of Missing Values Using Imputation by Machine Learning Techniques and Developing a New Self-Starting Control Chart for High Dimensional Data |
| topic | Math |
| url | https://eprints.kfupm.edu.sa/id/eprint/143021/1/Siaka_Jawara_KFUPM_Thesis_Final.pdf |