On the power transformation of some probability distributions / (رقم التسجيلة. 75504)

تفاصيل مارك
000 -LEADER
fixed length control field 02930cam a2200325 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223032449.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191127s2019 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 Cai01.18.03.M.Sc.2019.Ah.O
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Ahmed Mohamed Abdelghaffar Sayed Ahmed
245 10 - TITLE STATEMENT
Title On the power transformation of some probability distributions /
Statement of responsibility, etc. Ahmed Mohamed Abdelghaffar Sayed Ahmed ; Supervised Amal Soliman Hassan , Salwa Mahmoud Samy Assar
246 15 - VARYING FORM OF TITLE
Title proper/short title حول التحويل الأسى لبعض التوزيعات الإحتمالية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Ahmed Mohamed Abdelghaffar Sayed Ahmed ,
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 144 Leaves :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Mathematical Statistics
520 ## - SUMMARY, ETC.
Summary, etc. In many statistical situations, classical distributions do not provide appropriate fits to real data. Recently, attempts have been made to define new families of probability distributions that extend well-known distributions and at the same time provide great flexibility in modeling data in practice. In this thesis, a three-parameter continuous distribution is constructed called power transmuted inverse Rayleigh using a power transformation methodology. A comprehensive account of the statistical properties is discussed including; quantile function, moments, order statistics, incomplete moments, mean residual life function and Rényi entropy. Furthermore, estimation by methods of maximum likelihood, least squares and percentiles are discussed. A simulation study is implemented to compare the performance of different estimates. Finally, a real data application is used to illustrate the usefulness of the proposed distribution in modelling real data. Furthermore, Bayesian estimation is used to estimate the population parameters of the newproposed distribution based on informative and non- informative priors represented by gamma and Jeffery{u2019}s priors respectively.The Bayesian estimators are motivated by four loss functions which are minimum expected loss function, squared error loss function, precautionary lossfunctionandlinear-exponential loss function. Markov Chain Monte Carlo method is implemented for investigating the accuracy of estimates for different sample sizes. Numerical study is performed based on relative absolute biases and estimated risk in order to examine and compare the behavior of the parameters{u2019} Bayesian estimates
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Probability distributions
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term The power transformation
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Transformation
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Amal Soliman Hassan ,
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 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
المقتنيات
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 Cai01.18.03.M.Sc.2019.Ah.O 01010110080131000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.18.03.M.Sc.2019.Ah.O 01020110080131000 22.09.2023 CD - Rom 80131.CD
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