{"id":43186,"date":"2026-08-06T08:34:38","date_gmt":"2026-08-06T08:34:38","guid":{"rendered":"https:\/\/uomosul.edu.iq\/en\/computerscience\/?p=43186"},"modified":"2026-08-06T08:34:45","modified_gmt":"2026-08-06T08:34:45","slug":"1-696","status":"publish","type":"post","link":"https:\/\/uomosul.edu.iq\/en\/computerscience\/2026\/08\/06\/1-696\/","title":{"rendered":"master\u2019s thesis"},"content":{"rendered":"<p>Discussion of the Diploma Research\/ master\u2019s thesis in the College of Computer Science and Mathematics -Department of (\u00a0\u00a0 Department of Statistics and Informatics\u00a0\u00a0 ) entitled:<\/p>\n<p>supervised by \u00a0Dr. \u00a0Alaa Abdel Sattar Daoud<\/p>\n<p>The thesis addressed \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0. The thesis addressed the use of wavelet analysis to improve penal regression methods and variable selection, focusing on the problem of outliers and errors with heavy-tailed distributions<\/p>\n<p>The study addressed \u00a0\u00a0\u00a0\u00a0. It touched on a set of theoretical and applied topics (linear regression analysis, outliers and influential observations, heavy-tailed distributions, selection of variables, penal regression methods, wavelet transforms, wavelet downscaling, the proposed methodology, integrating the wavelet technique with penal regression methods, and a simulation study. The thesis used Monte Carlo simulation to compare the performance of different methods under multiple conditions, such as differences in sample size, error distribution, contamination ratio, and presence of outliers<\/p>\n<p>The study aims to \u00a0. The thesis aimed to employ wavelet transformation technology to improve the performance of fractional regression methods and variable selection, by smoothing the data and reducing the impact of noise, outliers, and errors with heavy-tailed distributions, and then integrating it with LASSO and SCAD methods and their robust counterparts (LAD-LASSO and LAD-SCAD), with the aim of improving the accuracy of estimating model parameters, increasing the efficiency of selecting important variables, increasing prediction accuracy, and evaluating the performance of these methods using simulation data and real data of thalassemia patients<\/p>\n<p>The discussion committee consists of<\/p>\n<p>Dr. \u00a0\u00a0(Chairman)\u00a0\u00a0 Bashar Abdel Aziz Majeed<\/p>\n<p>Dr. \u00a0\u00a0(Member)\u00a0\u00a0\u00a0 Osama Bashir Shukr<\/p>\n<p>Dr . \u00a0(Member)\u00a0\u00a0\u00a0 Mahmoud Mohamed Taher<\/p>\n<p>Dr. \u00a0(Member and Supervisor)\u00a0 Alaa Abdel Sattar Daoud<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Discussion of the Diploma Research\/ master\u2019s thesis in the College of Computer Science and Mathematics -Department of (\u00a0\u00a0 Department of Statistics and Informatics\u00a0\u00a0 ) entitled: supervised by \u00a0Dr. \u00a0Alaa Abdel Sattar Daoud The thesis addressed \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0. The thesis addressed the use of wavelet analysis to improve penal regression methods and variable selection, focusing on the problem of outliers and errors with heavy-tailed distributions The study addressed \u00a0\u00a0\u00a0\u00a0. It touched on a set of theoretical and applied topics (linear regression analysis, outliers and influential observations, heavy-tailed distributions, selection of variables, penal regression methods, wavelet transforms, wavelet downscaling, the proposed methodology, integrating the <a href=\"https:\/\/uomosul.edu.iq\/en\/computerscience\/2026\/08\/06\/1-696\/\"> [Read More]<\/a><\/p>\n","protected":false},"author":24,"featured_media":43187,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-43186","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-viva"],"_links":{"self":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/43186","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/users\/24"}],"replies":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/comments?post=43186"}],"version-history":[{"count":1,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/43186\/revisions"}],"predecessor-version":[{"id":43188,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/43186\/revisions\/43188"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/media\/43187"}],"wp:attachment":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/media?parent=43186"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/categories?post=43186"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/tags?post=43186"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}