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A comparison between classification statistical models and neural networks with application on palestine data / (Record no. 82691)

MARC details
000 -LEADER
fixed length control field 02502cam a2200313 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211020s2021 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 Ph.D
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.18.04.Ph.D.2021.Ab.C
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Abdallah Salman Mohammed Aldirawi
245 12 - TITLE STATEMENT
Title A comparison between classification statistical models and neural networks with application on palestine data /
Statement of responsibility, etc. Abdallah Salman Mohammed Aldirawi ; Supervised Amani Moussa Mohamed , Mahmoud A. Abdelfattah
246 15 - VARYING FORM OF TITLE
Title proper/short title مقارنة بين نماذج التصنيف الإحصائية والشبكات العصبية مع التطبيق على بيانات من فلسطين
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Abdallah Salman Mohammed Aldirawi ,
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent 125 Leaves :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Statistics and Econometrics
520 ## - SUMMARY, ETC.
Summary, etc. This study aims at choosing the best statistical model for Labor Force data in Palestine in 2019, comparing between Multinomial Logistic Regression, Discriminant Analysis and Artificial Neural Networks. The Palestinian Labor Force data has 12 variables with manpower as the dependent variable containing three categories of Employment, Unemployment, and Outside of labor force.The other 11 are all nominal independent variables with the exception of age which is a scale variable. The results of these comparisons have shown that Multinomial Logistic Regression gave the best accuracy in prediction with (82.2%), (79.2%) for Discriminant Analysis and (81.6%) for Artificial Neural Networks. Labor Force data from a survey on Labor Force data with 9 variables have further been used, the dependent variable being nominal with two categories (Employed and Unemployed) while the other 8 independent variables are all nominal except, age variable.The results of these comparisons have shown that Artificial Neural Networks gave the best accuracy in prediction with (82.7%), (81.6%) for Logistic Regression and (79.5%) Discriminant Analysis
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Artificial Neural Networks
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Discriminant Analysis
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Multinomial Logistic Regression
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Amani Moussa Mohamed ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mahmoud A. Abdelfattah ,
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
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.18.04.Ph.D.2021.Ab.C 01010110084479000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.18.04.Ph.D.2021.Ab.C 01020110084479000 22.09.2023 CD - Rom 84479.CD