تفاصيل مارك
| 000 -LEADER |
| fixed length control field |
09052namaa22004331i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
EG-GICUC |
| 005 - أخر تعامل مع التسجيلة |
| control field |
20260416160913.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
260416s2025 ua a|||frm||| 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
| Original cataloguing agency |
EG-GICUC |
| Language of cataloging |
eng |
| Transcribing agency |
EG-GICUC |
| Modifying agency |
EG-GICUC |
| Description conventions |
rda |
| 041 0# - LANGUAGE CODE |
| Language code of text/sound track or separate title |
eng |
| Language code of summary or abstract |
eng |
| -- |
ara |
| 049 ## - Acquisition Source |
| Acquisition Source |
Deposit |
| 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 |
| Content type term |
text |
| Source |
rda content |
| 337 ## - MEDIA TYPE |
| Media type term |
Unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Carrier type term |
volume |
| Source |
rdacarrier |
| 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 |