Multi-Scale Geographically Weighted Quantile Regression Model / (Record no. 169255)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04963namaa2200421 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - أخر تعامل مع التسجيلة | |
| control field | 20250223033338.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241204s2023 ua a|||f |m|| 001 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 | M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Local Call Number | Cai01.03.01.M.Sc.2023.Al.M. |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Authority record control number or standard number | Allaa Hatem Mohamed Fathy, |
| Preparation | preparation. |
| 245 10 - TITLE STATEMENT | |
| Title | Multi-Scale Geographically Weighted Quantile Regression Model / |
| Statement of responsibility, etc. | By Allaa Hatem Mohamed Fathy Elkady; Supervised by, Prof. Abd Elnasser Saad Abdrabou, Dr. Amira Sherif Elayouty |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | نموذج الإنحدار الجزيئي الموزون جغرافيًا متعدد المقاييس / |
| 264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 105 pages : |
| Other physical details | illustrations ; |
| Dimensions | 25 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 (M.Sc.)-Cairo University, 2023. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography: pages 200-250. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Spatial non-stationarity and spatial autocorrelation are two typical properties of spatial data. Geographically Weighted Regression (GWR) is a class of models which explores and accounts for the potential non-stationarity of relationships between a response and some explanatory variables across space. In some situations, heterogeneity does not only arise from the non-stationarity of data relationships over space but also from the response heterogeneity across different locations of the response distribution. This leads to the rise of Geographically Weighted Quantile Regression (GWQR) which accounts for both sources of heterogeneity and provides an entire description of the response distribution across space. However, GWQR assumes that modelled processes operate at the same spatial scale. This is an unrealistic assumption for spatially varying relationships that may operate at different spatial scales. Therefore, a Multi-scale Geographically Weighted Quantile Regression (MGWQR) relaxing the assumption that all relationships operate at the same scale is proposed here. This proposed methodology relies on estimating a vector of optimal bandwidths measuring the spatial scales at which the different processes (relationships) operate at each quantile. The estimation of the model and the selection of the vector of bandwidths in MGWQR are implemented using a back-fitting algorithm. The performance of the proposed model is evaluated against the existing GWQR using a simulation study under different scenarios. Then, the model is applied to a real-life dataset, which considers the impacts of a set of climate variables on children’s health and growth data in Uganda. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | غالبًا ما تفترض نماذج الانحدار التقليدية أن الملاحظات مستقلة وأن علاقات التنبؤ بالاستجابة بين المتغيرات ثابتة. هذه الافتراضات ليست واقعية بالنسبة للبيانات المكانية. ولهذا السبب تم تطوير النماذج المكانية التي تأخذ بعين الاعتبار العوامل المكانية والجغرافية. إحدى الفئات الشائعة لهذه النماذج هي الانحدار الموزون جغرافيًا .(GWR) فيGWR، يتم تحديد العلاقات المتوسطة بين المتغيرات محليًا ويتم تقدير تقديرات المعلمات المستندة إلى الموقع للمتغيرات المشتركة باستخدام طرق الانحدار والتمهيد المحلية لكل موقع في الفضاء. يتطلب تقدير GWR ترجيح نقاط البيانات وفقًا لمدى قربها من كل نقطة في البيانات. عادةً ما يتم تخصيص أوزان أعلى للنقاط الأقرب وفقًا لوظيفة اضمحلال المسافة المحددة التي تحدد عرض النطاق الترددي المطلوب لنموذج .GWR يوضح حجم عرض النطاق الترددي النطاق المكاني للعلاقة قيد الدراسة، حيث يشير عرض النطاق الترددي الأصغر إلى علاقات أكثر محلية. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Issues CD | Issued also as CD |
| 546 ## - LANGUAGE NOTE | |
| Text Language | Text in English and abstract in Arabic & English. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Statistics |
| Source of heading or term | qrmak |
| 653 #0 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Back-fitting, climate |
| -- | Geographically Weighted Regression |
| -- | Quantile Regression |
| -- | Multiscale Geographically Weighted Regression |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | . Abd Elnasser Saad Abdrabou |
| Relator term | thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Amira Sherif Elayouty |
| Relator term | thesis advisor. |
| 900 ## - Thesis Information | |
| Grant date | 01-01-2023 |
| Supervisory body | Abd Elnasser Saad Abdrabou |
| -- | Amira Sherif Elayouty |
| Universities | Cairo University |
| Faculties | Faculty of Economics and Political Science |
| Department | Department of Statistics |
| 905 ## - Cataloger and Reviser Names | |
| Cataloger Name | Eman El gebaly |
| Reviser Names | Huda |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Edition | 21 |
| Suppress in OPAC | No |
| 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 | 04.12.2024 | 89127 | Cai01.03.01.M.Sc.2023.Al.M. | 01010110089127000 | 04.12.2024 | 04.12.2024 | Thesis |