{"id":234,"date":"2016-11-03T08:43:32","date_gmt":"2016-11-03T08:43:32","guid":{"rendered":"http:\/\/qu.edu.iq\/repository\/?p=234"},"modified":"2016-11-03T08:43:32","modified_gmt":"2016-11-03T08:43:32","slug":"hassan-s-uraibi","status":"publish","type":"post","link":"https:\/\/repository.qu.edu.iq\/?p=234","title":{"rendered":"Hassan S. Uraibi"},"content":{"rendered":"<p style=\"direction: ltr\"><strong>1-\u00a0<a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2016\/11\/1-1.pdf\">Dynamic Robust Bootstrap Method Based on LTS Estimators.<\/a><\/strong><\/p>\n<p style=\"direction: ltr\"><strong>2-\u00a0<a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2016\/11\/1-2.pdf\">Effects of Fundamental Schools on Mathematics Performance: Iraq as a Model.<\/a><\/strong><\/p>\n<p style=\"direction: ltr\"><strong>3-\u00a0<a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2016\/11\/1-3.pdf\">Linear Regression Model Selection Based on Robust Bootstrapping Technique.<\/a><\/strong><\/p>\n<p style=\"direction: ltr\"><strong>4- <a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2017\/03\/1-4.pdf\">Robust Stability Best Subset Selection for Autocorrelated Data Based on Robust Location and Dispersion Estimator.<\/a><\/strong><\/p>\n<p style=\"direction: ltr\"><strong>5-<a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2016\/11\/1-5.pdf\">Selective overview of forward selection in terms of robust correlations.<\/a><\/strong><\/p>\n<p style=\"direction: ltr;text-align: justify\"><strong>6-\u00a0<a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2016\/11\/1-6.pdf\">\u0627\u0644\u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u062d\u0635\u064a\u0646 \u0644\u062a\u0642\u0646\u064a\u0629 \u0627\u0644 Bootstrap \u0627\u0644\u0645\u0648\u0627\u0632\u0646\u0629 \u0627\u062d\u062a\u0645\u0627\u0644\u064a\u0627 (WBP) \u0644\u062a\u0642\u062f\u064a\u0631 \u0645\u0639\u0627\u0644\u0645 \u0645\u0639\u0627\u062f\u0644\u0629 \u0627\u0644\u0627\u062a\u062c\u0627\u0629 \u0627\u0644\u0639\u0627\u0645 \u0644\u0633\u0644\u0627\u0633\u0644 \u0632\u0645\u0646\u064a\u0629 \u0645\u062e\u062a\u0627\u0631\u0629.<\/a><\/strong><\/p>\n<p style=\"direction: ltr\"><strong>7-\u00a0<a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2016\/11\/1-7.pdf\">\u062a\u0639\u062f\u064a\u0644 \u0627\u062e\u062a\u0628\u0627\u0631 \u0643\u0648\u0644\u062f \u0641\u064a\u0644\u062f &#8211; \u0643\u0648\u0627\u0646\u062a \u0627\u0644\u0645\u0639\u062f\u0644 \u0644\u062a\u0634\u062e\u064a\u0635 \u0639\u062f\u0645 \u0627\u0644\u062a\u062c\u0627\u0646\u0633 \u0628\u0648\u062c\u0648\u062f \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0634\u0627\u0630\u0629.<\/a><\/strong><\/p>\n<p style=\"direction: ltr\"><strong>8-<a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2017\/03\/1-8.pdf\"> The Dimensional Reduction of Correlation Matrix for Linear Regression Model Selection<\/a><\/strong><\/p>\n<p style=\"direction: ltr\"><strong>9-<\/strong>\u00a0 <strong><a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2017\/03\/1-9.pdf\">Artificial Intelligence in E-Leaning-Pedagogical and Cognitive Aspects Jabar.<\/a><\/strong><\/p>\n<p style=\"direction: ltr\"><strong>10.<\/strong>\u00a0<strong><a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2017\/03\/1-10.pdf\">Adjusted Adaptive Sparse Logistic Regression for Gene Selection in High-dimensional Microarray Data Classification.<\/a><\/strong><\/p>\n<p style=\"direction: ltr\"><strong>11.<\/strong> \u00a0<strong><a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2017\/03\/1-11.pdf\">The Analaysis of PM10 Suspended Partculate Air Pollution Using Several Robust Technique: Case Study in An Industrial Area, Penang, Malaysia<\/a><\/strong><\/p>\n<p style=\"direction: rtl;text-align: right\"><strong>12. \u0627\u0642\u062a\u0631\u0627\u062d \u0644\u062a\u062d\u0635\u064a\u0646 \u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0640 Bootstrap \u0627\u0644\u0645\u0648\u0632\u0648\u0646\u0629 \u0627\u062d\u062a\u0645\u0627\u0644\u064a\u0627 (WBP) \u0644\u0645\u0642\u0627\u0648\u0645\u0629 \u0646\u0642\u0627\u0637 \u0642\u0648\u0629 \u0627\u0644\u0631\u0641\u0639 \u0627\u0644\u0631\u062f\u064a\u0626\u0629 Leverage point \u0627\u0644\u0645\u0624\u062b\u0631\u0629 \u0639\u0644\u0649 \u062a\u0642\u062f\u064a\u0631\u0627\u062a \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a \u0627\u0644\u0645\u062a\u0639\u062f\u062f<\/strong><\/p>\n<p style=\"direction: rtl;text-align: right\"><strong>13.\u00a0\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629MM-Bootstrap \u0627\u0644\u0645\u0631\u0646\u0629 \u0644\u062a\u062d\u0635\u064a\u0646 \u062a\u0642\u062f\u064a\u0631 \u0645\u0639\u0644\u0645\u0627\u062a \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a \u0627\u0644\u0645\u062a\u0639\u062f\u062f \u0644\u0644\u0639\u064a\u0646\u0627\u062a \u0627\u0644\u0635\u063a\u064a\u0631\u0629 ( \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u062d\u062a\u0633\u0627\u0628\u064a\u0629 \u0645\u0642\u062a\u0631\u062d\u0629)<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>1-\u00a0Dynamic Robust Bootstrap Method Based on LTS Estimators. 2-\u00a0Effects of Fundamental Schools on Mathematics Performance: Iraq as a Model. 3-\u00a0Linear &#8230; 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