A proposed estimatoro f generalized semiparametric regression model / (رقم التسجيلة. 179534)

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control field 20260416160913.0
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Language code of text/sound track or separate title eng
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082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Classification number 519.5
Edition number 21
097 ## - Degree
Degree Ph.D
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Local Call Number Cai01.18.04.Ph.D.2025.Mu.P
100 0# - MAIN ENTRY--PERSONAL NAME
Authority record control number or standard number Muhammad El- Metwally Muhammad Seliem,
Preparation preparation.
245 12 - TITLE STATEMENT
Title A proposed estimatoro f generalized semiparametric regression model /
Statement of responsibility, etc. by Muhammad El- Metwally Muhammad Seliem ; Supervisors Prof. Sayed Mesheal El-Sayed, Prof. Mohamed Reda Abonaze.
246 15 - VARYING FORM OF TITLE
Title proper/short title مقدرمقترح لنموذج الإنحدار شبه المعلمي المُعَمَّم
264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice 2025.
300 ## - PHYSICAL DESCRIPTION
Extent 164 Leaves :
Other physical details illustrations ;
Dimensions 30 cm. +
Accompanying material CD.
336 ## - CONTENT TYPE
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337 ## - MEDIA TYPE
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338 ## - CARRIER TYPE
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502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D)-Cairo University, 2025.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography: pages 119-133.
520 #3 - SUMMARY, ETC.
Summary, etc. This dissertation develops three generalized semiparametric regression models (GSPRMs)<br/>as an extension of parametric generalized linear models (GLMs) to address the dual chal-<br/>lenges of excess zeros and nonlinear covariate effects in count data and proportion data. Two<br/>estimators are developed for these models: penalized smoothing splines (Ps) and P-splines<br/>(Pb). Within the GSPRMs framework, three specific models are developed, each estimated<br/>using both developed estimators. First, the semiparametric partially Poisson (SPPO) regres-<br/>sion model captures nonparametric covariate effects in standard count data. Second, the<br/>semiparametric partially zero-inflated Poisson (SPZIP) regression model incorporates logis-<br/>tic regression components to address excess zeros in count data. Third, the semiparametric<br/>partially zero-inflated Beta (SPZIBE) regression model handles proportion data with zero-<br/>inflation.<br/><br/>To evaluate the performance and applicability of these developed models, extensive sim-<br/>ulation studies and real-world applications were conducted, demonstrating their robustness<br/>and practical utility. The Pb estimator of the extended models (SPPO-Pb, SPZIP-Pb, SPZIBE-<br/>Pb) show superior performance across evaluation metrics, including Akaike Information Cri-<br/>terion (AIC), Bayesian Information Criterion (BIC), and root mean square error (RMSE),<br/>achieving RMSE reductions of 40–58 % compared to standard Poisson, zero-inflated Poisson<br/>(ZIP) and zero-inflated Beta (ZIBE) regression models estimated via maximum likelihood<br/>(ML). Real-world applications to the Biochemists dataset (count data) and the Varieties of<br/>Democracy (V-Dem) dataset, a global socio-political dataset (proportion data), validate their<br/>utility across scientific and socio-political contexts. These models provide researchers in<br/>economics, political science, and social sciences with robust, interpretable tools for analyz-<br/>ing zero-inflated (ZI) data with enhanced predictive accuracy.
520 #3 - SUMMARY, ETC.
Summary, etc. ﺗﻌﺎﻟﺞ ﻫﺬﻩ ﺍﻷﻁﺮﻭﺣﺔ، ﺍﻟﺘﺤﺪﻳﺎﺕ ﺍﻟﻤﻨﻬﺠﻴﺔ ﻓﻲ ﻧﻤﺬﺟﺔ ﺑﻴﺎﻧﺎﺕ ﺍﻟﻌﺪ ﻭﺑﻴﺎﻧﺎﺕ ﺍﻟﻨﺴﺐ ﺍﻟﺘﻲ ﺗﻌﺎﻧﻲ ﻣﻦ ﻣﺸﻜﻠﺔ ﺍﻟﺘﻀﺨﻢ ﺍﻟﺼﻔﺮﻱ،<br/>ﻭﻫﻲ ﻣﺸﻜﻠﺔ ﺷﺎﺋﻌﺔ ﻓﻲ ﺍﻟﺒﻴﺎﻧﺎﺕ ﺍﻟﻮﺍﻗﻌﻴﺔ ﺍﻟﺘﻲ ﺗﺘﻤﺜﻞ ﻓﻲ ﻣﺠﺎﻻﺕ ﻣﺜﻞ ﺍﻻﻗﺘﺼﺎﺩ، ﺍﻟﻌﻠﻮﻡ ﺍﻟﺴﻴﺎﺳﻴﺔ، ﻋﻠﻢ ﺍﻷﻭﺑﺌﺔ، ﻭﺍﻟﻌﻠﻮﻡ ﺍﻻﺟﺘﻤﺎﻋﻴﺔ.<br/>ﻏﺎﻟﺒًﺎ ﻣﺎ ﺗﻔﺸﻞ ﻧﻤﺎﺫﺝ ﺍﻟﻤﻌﻠﻤﻴﺔ ﺍﻟﺘﻘﻠﻴﺪﻳﺔ، ﻣﺜﻞ ﺍﻧﺤﺪﺍﺭ ﺑﻮﺍﺳﻮﻥ (PO)، ﻭﺍﻧﺤﺪﺍﺭ ﺑﻮﺍﺳﻮﻥ ﻣﺘﻀﺨﻢ ﺍﻷﺻﻔﺎﺭ (ZIP)، ﻭﺍﻧﺤﺪﺍﺭ ﺑﻴﺘﺎ<br/>ﻣﺘﻀﺨﻢ ﺍﻷﺻﻔﺎﺭ (ZIBE)، ﻓﻲ ﺍﻟﺘﻘﺎﻁ ﺍﻟﻌﻼﻗﺎﺕ ﻏﻴﺮ ﺍﻟﺨﻄﻴﺔ ﺑﻴﻦ ﺍﻟﻤﺘﻐﻴﺮﺍﺕ ﺍﻟﺘﻔﺴﻴﺮﻳﺔ ﻭﺍﻟﻤﺘﻐﻴﺮﺍﺕ ﺍﻟﺘﺎﺑﻌﺔ، ﻣﻤﺎ ﻳﺆﺩﻱ ﺇﻟﻰ ﺍﻧﺤﻴﺎﺯ<br/>ﻓﻲ ﺍﻟﺘﻘﺪﻳﺮﺍﺕ ﻭﺍﻧﺨﻔﺎﺽ ﺍﻟﺪﻗﺔ ﺍﻟﺘﻨﺒﺆﻳﺔ. ﻛﻤﺎ ﺗﻔﺘﻘﺮ ﺍﻟﻨﻤﺎﺫﺝ ﺷﺒﻪ ﺍﻟﻤﻌﻠﻤﻴﺔ ﺍﻟﺤﺎﻟﻴﺔ ﺇﻟﻰ ﺁﻟﻴﺎﺕ ﻣﺪﻣﺠﺔ ﻟﻠﺘﻌﺎﻣﻞ ﻣﻊ ﺍﻟﺘﻀﺨﻢ ﺍﻟﺼﻔﺮﻱ،<br/>ﺍ ﺟﺪﻳﺪًﺍ ﻟﻨﻤﺎﺫﺝ<br/>ﺧﺎﺻﺔً ﻋﻨﺪ ﺍﻟﺘﻌﺎﻣﻞ ﻣﻊ ﺑﻴﺎﻧﺎﺕ ﺍﻟﻌﺪ ﻭﺍﻟﻨﺴﺐ ﻓﻲ ﺇﻁﺎﺭ ﻣﻮﺣﺪ. ﻟﻤﻌﺎﻟﺠﺔ ﻫﺬﻩ ﺍﻟﻔﺠﻮﺍﺕ، ﺗﺆﺳﺲ ﻫﺬﻩ ﺍﻷﻁﺮﻭﺣﺔ ﺇﻁﺎﺭ<br/>Penalized Smoothing) ﻳﻌﺘﻤﺪ ﻋﻠﻰ ﻣﻘﺪﺭﻳﻦ: ﺍﻟﺸﺮﺍﺋﺢ ﺍﻟﺘﻤﻬﻴﺪﻳﺔ ﺍﻟﻤﻌﺎﻗﺒﺔ ،(GSPRMs) ﻌﻤﻤﺔ<br/>ﺍﻻﻧﺤﺪﺍﺭ ﺷﺒﻪ ﺍﻟﻤﻌﻠﻤﻴﺔ ﺍﻟﻤ<br/>،GSPRMs ﺍﻟﻤﻌﺎﻗﺒﺔ، ﺍﻟﻠﺬﻳﻦ ﻳﻌﺰﺯﺍﻥ ﺍﻟﻜﻔﺎءﺓ ﺍﻟﺤﺴﺎﺑﻴﺔ ﻭﺍﻟﻤﺮﻭﻧﺔ ﻓﻲ ﺍﻟﻨﻤﺬﺟﺔ. ﺿﻤﻦ ﻧﻤﺎﺫﺝ (B-spline) ﻭﺷﺮﺍﺋﺢ (Splines<br/>ُﻁﻮﺭﺕ ﺛﻼﺛﺔ ﻧﻤﺎﺫﺝ ﺟﺪﻳﺪﺓ ﻟﺘﻠﺒﻴﺔ ﺍﺣﺘﻴﺎﺟﺎﺕ ﺗﺤﻠﻴﻞ ﺍﻟﺒﻴﺎﻧﺎﺕ ﺍﻟﻤﻌﻘﺪﺓ:<br/><br/>• ﻧﻤﺎﺫﺝ ﺍﻧﺤﺪﺍﺭ ﺑﻮﺍﺳﻮﻥ ﺷﺒﻪ ﺍﻟﻤﻌﻠﻤﻲ ﺍﻟﺠﺰﺋﻲ ﺍﻟﻤﻌﻤﻢ (SPPO): ﻳﺴﺘﺨﺪﻡ ﻫﺬﺍ ﺍﻟﻨﻤﻮﺫﺝ ﻛﻼً ﻣﻦ ﺷﺮﺍﺋﺢ Pb ﻭ Ps ﻻﻟﺘﻘﺎﻁ<br/>ﺎ ﻗﻮﻳًﺎ ﻭﻗﺎﺑﻼً ﻟﻠﺘﻔﺴﻴﺮ<br/><br/>ً<br/><br/>ﺍﻟﻌﻼﻗﺎﺕ ﻏﻴﺮ ﺍﻟﻤﻌﻠﻤﻴﺔ ﺑﻤﺮﻭﻧﺔ ﺑﻴﻦ ﺍﻟﻤﺘﻐﻴﺮﺍﺕ ﺍﻟﻤﺸﺘﺮﻛﺔ ﻭﺍﻻﺳﺘﺠﺎﺑﺔ ﺍﻟﻌﺪﺩﻳﺔ. ﻳﻮﻓﺮ SPPO ﻧﻬﺠ<br/><br/>.<br/>ٍﻟﻠﺤﺎﻻﺕ ﺍﻟﺘﻲ ﻗﺪ ﻻ ﺗﺘﻤﻜﻦ ﻓﻴﻬﺎ ﺍﻟﻨﻤﺎﺫﺝ ﺍﻟﺨﻄﻴﺔ ﺍﻟﺘﻘﻠﻴﺪﻳﺔ ﻣﻦ ﺍﻟﺘﻘﺎﻁ ﻋﻤﻠﻴﺔ ﺗﻮﻟﻴﺪ ﺍﻟﺒﻴﺎﻧﺎﺕ ﺍﻟﻌﺪﺩﻳﺔ ﺍﻷﺳﺎﺳﻴﺔ ﺑﺸﻜﻞ ﻛﺎﻑ<br/>SPPO ﻊ ﻫﺬﺍ ﺍﻟﻨﻤﻮﺫﺝ ﺇﻁﺎﺭ<br/>ِّ• ﻧﻤﻮﺫﺝ ﺍﻧﺤﺪﺍﺭ ﺑﻮﺍﺳﻮﻥ ﺷﺒﻪ ﺍﻟﻤﻌﻠﻤﻲ ﺍﻟﺠﺰﺋﻲ ﺍﻟﻤﻌﻤﻢ ﻣﺘﻀﺨﻢ ﺍﻷﺻﻔﺎﺭ (SPZIP): ﻳُﻮﺳ<br/>SPZIP ﻳﺘﻀﻤﻦ .Ps ﻭ Pb ﻟﻤﻌﺎﻟﺠﺔ ﺑﻴﺎﻧﺎﺕ ﺍﻟﻌﺪ ﺍﻟﺘﻲ ﺗﻌﺎﻧﻲ ﻣﻦ ﻣﺸﻜﻠﺔ ﺍﻟﺘﻀﺨﻢ ﺍﻟﺼﻔﺮﻱ، ﺑﺎﺳﺘﺨﺪﺍﻡ ﻛﻞ ﻣﻦ ﺷﺮﺍﺋﺢ<br/>ﻣﻜﻮﻥ ﺗﻀﺨﻢ ﺻﻔﺮﻱ، ﻳﺘﻢ ﻧﻤﺬﺟﺘﻪ ﺑﺎﺳﺘﺨﺪﺍﻡ ﺩﺍﻟﺔ ﺍﻟﺮﺑﻂ (logit)، ﻟﺤﺴﺎﺏ ﻛﻞ ﻣﻦ ﺍﻷﺻﻔﺎﺭ ﺍﻟﻬﻴﻜﻠﻴﺔ ﻭﺍﻟﻌﺸﻮﺍﺋﻴﺔ. ﻳﻮﻓﺮ ﻫﺬﺍ<br/>ﺃﻛﺜﺮ ﺩﻗﺔ ﻭﻭﺍﻗﻌﻴﺔ ﻟﻠﺒﻴﺎﻧﺎﺕ ﺫﺍﺕ ﺍﻷﺻﻔﺎﺭ ﺍﻟﺰﺍﺋﺪﺓ.<br/>ًﺍﻟﻨﻬﺞ ﺗﻤﺜﻴﻼ<br/>ﺎ ﻟﺘﺤﻠﻴﻞ<br/>ً• ﻧﻤﻮﺫﺝ ﺍﻧﺤﺪﺍﺭ ﺑﻴﺘﺎ ﺷﺒﻪ ﺍﻟﻤﻌﻠﻤﻲ ﺍﻟﺠﺰﺋﻲ ﺍﻟﻤﻌﻤﻢ ﻣﺘﻀﺨﻢ ﺍﻷﺻﻔﺎﺭ (SPZIBE): ُﺻِّﻤﻢ ﻫﺬﺍ ﺍﻟﻨﻤﻮﺫﺝ ﺧﺼﻴﺼ<br/>SPZIBE ﺷﺎﺋﻊ ﻓﻲ ﻣﺨﺘﻠﻒ ﺍﻟﻤﺠﺎﻻﺕ. ﻳﺴﺘﺨﺪﻡ<br/>ﺍﻟﺒﻴﺎﻧﺎﺕ ﺍﻟﻨﺴﺒﻴﺔ ﺍﻟﺘﻲ ﺗﻌﺎﻧﻲ ﻣﻦ ﻣﺸﻜﻠﺔ ﺍﻟﺘﻀﺨﻢ ﺍﻟﺼﻔﺮﻱ، ﻭﻫﻮ ﺗﺤﺪ<br/>ﻛﻼً ﻣﻦ ﺷﺮﺍﺋﺢ Pb ﻭ Ps ﻻﻟﺘﻘﺎﻁ ﺍﻟﻌﻼﻗﺎﺕ ﺍﻟﻤﻌﻘﺪﺓ ﺑﻴﻦ ﺍﻟﻤﺘﻐﻴﺮﺍﺕ ﺍﻟﻤﺸﺘﺮﻛﺔ ﻭﺍﻟﻤﺘﻐﻴﺮ ﺍﻟﺘﺎﺑﻊ. ﻳﺘﻢ ﺗﻄﻮﻳﺮ ﻧﺴﺨﺘﻴﻦ:<br/>SPZIBE-Pb ﻭ SPZIBE-Ps، ﻣﻤﺎ ﻳﺴﻤﺢ ﺑﺘﻘﻴﻴﻢ ﻣﻘﺎﺭﻥ ﻷﺩﺍء ﻣﻨﺎﻫﺞ ﺍﻟﺸﺮﺍﺋﺢ ﺍﻟﻤﺨﺘﻠﻔﺔ.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Issues CD Issues also as CD.
546 ## - LANGUAGE NOTE
Text Language Text in English and abstract in Arabic & English.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Applied Statistics and Econometrics
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element الإحصاء التطبيقي والاقتصاد القياسي
653 #1 - INDEX TERM--UNCONTROLLED
Uncontrolled term Semiparametric Regression Models
-- Parametric Models
-- Generalized Linear Models
-- Count Data
-- Proportion Data
-- P-Splines
-- Smoothing Splines
-- Excess Zeros Problem
-- نماذج العد
-- نماذج شبه معلمية
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Sayed Mesheal El-Sayed
Relator term thesis advisor.
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mohamed Reda Abonaze.
Relator term thesis advisor.
900 ## - Thesis Information
Grant date 01-01-2025
Supervisory body Sayed Mesheal El-Sayed
-- Mohamed Reda Abonaze
Universities Cairo University
Faculties Faculty of Graduate Studies for Statistical Research
Department Department of Applied Statistics and Econometrics
905 ## - Cataloger and Reviser Names
Cataloger Name Shimaa
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Edition 21
Suppress in OPAC No
المقتنيات
Source of classification or shelving scheme Home library Current library Date acquired Inventory number Full call number Barcode Date last seen Effective from Koha item type
Dewey Decimal Classification المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 16.04.2026 93787 Cai01.18.04.Ph.D.2025.Mu.P 01010110093787000 16.04.2026 16.04.2026 Thesis
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