MARC details
000 -LEADER |
fixed length control field |
02229cam a2200313 a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
EG-GiCUC |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
210918s2021 ua d f m 000 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
EG-GiCUC |
Language of cataloging |
eng |
Transcribing agency |
EG-GiCUC |
041 0# - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
049 ## - LOCAL HOLDINGS (OCLC) |
Holding library |
Deposite |
097 ## - Thesis Degree |
Thesis Level |
M.Sc |
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
Classification number |
Cai01.03.01.M.Sc.2021.He.Q |
100 0# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Heba Abdelqader Ahmed Erfan |
245 10 - TITLE STATEMENT |
Title |
Quantile regression via a modified weighted goal programming approach with application / |
Statement of responsibility, etc. |
Heba Abdelqader Ahmed Erfan ; Supervised Ramadan Hamed Mohamed , Mahmoud Mostafa Rashwan |
246 15 - VARYING FORM OF TITLE |
Title proper/short title |
الإنحدار الجزيئى يإستخدام أسلوب معدل لبرمجة الهدف المرجحة مع التطبيق |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Cairo : |
Name of publisher, distributor, etc. |
Heba Abdelqader Ahmed Erfan , |
Date of publication, distribution, etc. |
2021 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
64 P. : |
Other physical details |
charts ; |
Dimensions |
25cm |
502 ## - DISSERTATION NOTE |
Dissertation note |
Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Recently, quantile regression has received great attention in data analysis because it captures the effect of the independent variables on the whole distribution of the dependent variable, unlike traditional linear regression which provides only one estimate as a representative of this effect for the entire distribution. In this thesis, a modified weighted goal programming model is proposed to obtain the estimates of the quantile regression parameters with less computational effort than the original model of the quantile regression. The proposed model saves more than half the CPU time used for computing quantile regression estimates compared to the original model. A simulation study is performed to assess the performance of the proposed model. Also, the quantile regression is applied to the students{u2019} scores dataset of Faculty of Economics and Political Science at Cairo University to determine the effect of the COVID-19 pandemic on the students{u2019} performance |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
Additional physical form available note |
Issued also as CD |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Linear regression |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Median regression |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Quantile regression |
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Mahmoud Mostafa Rashwan , |
Relator term |
|
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Ramadan Hamed Mohamed , |
Relator term |
|
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
Cataloger |
Nazla |
Reviser |
Revisor |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
Cataloger |
Shimaa |
Reviser |
Cataloger |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Thesis |