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Handling missing data of some skewed distributions / (Record no. 56473)

MARC details
000 -LEADER
fixed length control field 02805cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223031508.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160516s2015 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 Cai01.18.04.M.Sc.2015.Mo.H
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Mohamed Meatemed Mohamed Eissawy
245 10 - TITLE STATEMENT
Title Handling missing data of some skewed distributions /
Statement of responsibility, etc. Mohamed Meatemed Mohamed Eissawy ; Supervised Ahmed Amin Elsheikh , Naglaa Abdelmoneim Morad
246 15 - VARYING FORM OF TITLE
Title proper/short title معالجة البيانات المفقودة لبعض التوزيعات الملتوية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Mohamed Meatemed Mohamed Eissawy ,
Date of publication, distribution, etc. 2015
300 ## - PHYSICAL DESCRIPTION
Extent 102 Leaves :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and research - Department of Statistics and Econometrics
520 ## - SUMMARY, ETC.
Summary, etc. The problem of imputation of missing observations emerges in many areas. Data usually contained missing observations due to many factors, such as machine failures and human error. Incomplete dataset usually causes bias due to differences between observed and unobserved data. The treatment of missing data has been an issue in statistics for some time, but it has come to the fore in recent years. The current interest in missing data stems mostly from the problems caused in surveys and census data, but the topic is actually much broader than that. Imputation is an increasingly popular method for handling data with missing values. When using imputation, analysts fill in missing values with random draws from an imputation model, and then fit the imputed data to an analysis model. In an ideal world, the imputation model would perfectly represent the distribution of the data. But such perfect fidelity can be very difficult to achieve, and in practice it is often unnecessary. All that is necessary is that the imputation model preserves those aspects of the distribution that are relevant to the analysis model. The point of imputation is not that the imputed values should look like observed values. The point is that the imputed variable should act like the observed variable when used in analysis. Researchers often impute continuous variables under an assumption of normality, yet many incomplete variables are skewed. It was found that imputing skewed variables under a normal model can lead to bias
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Handling missing data
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term LOCF
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Skewed distributions
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ahmed Amin Elsheikh ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Naglaa Abdelmoneim Morad ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Aml
Reviser Cataloger
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
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.M.Sc.2015.Mo.H 01010110068819000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.18.04.M.Sc.2015.Mo.H 01020110068819000 22.09.2023 CD - Rom 68819.CD