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http://hdl.handle.net/20.500.12358/21338
TitleGeneralized Lambda Distribution and Estimation Parameters
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Abstract

Generalized lambda distribution (GLD) is a very useful mean to testing and fitting of data to well known distributions. Since the GLD is defined by its quantile function, it can provide a simple and effective algorithm for generating random variates. In this thesis we study the defection of GLD and plotting the function. The purpose of this thesis is to estimate the four parameters of the GLD by using three methods, the method of moments, the method of least squares and percentiles method. Numerical examples were used to estimate the parameters of the GLD. Finally we applied one method on real data.

Authors
Aljazar, A-nasser L.
Supervisors
Okasha, Mahmoud K.
Elatrash, Mohammed S.
Typeرسالة ماجستير
Date2005
LanguageEnglish
Publisherthe islamic university
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  • PhD and MSc Theses- Faculty of Science [445]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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