header
Image from OpenLibrary

Bayesian and non {u2013} bayesian estimation based on generalized order statistics for lifetime distribution / Said Gamal Nasser Mohamed Nassr ; Supervised Abdallah Mohamed Abdelfattah , Amal Soliman Hassan

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Said Gamal Nasser Mohamed , 2015Description: 170 Leaves : charts ; 30cmOther title:
  • التقدير البييزى واللابييزى فى ضوء الإحصاءات الترتيبية المعممة لتوزيع الحياه [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies & Research - Department of Mathematical Statistics Summary: In this thesis, presents point estimates of parameters for exponentiated Weibull Poisson distribution based on generalized order statistics using maximum likelihood and Bayesian methods. The asymptotic variances and covariance matrix and confidence interval estimates of parameters are derived based on generalized order statistics. Maximum likelihood and Bayesian predictive (point and interval) of the first future observations are obtained based on generalized order statistics. All results are specialized to type II censored data and upper record values. Bayesian prediction estimators of the first future observation from exponentiated Weibull Poisson distribution are obtained by using different loss functions. All estimation algorithms and numerical studies are carried out to asses these effects using MathCAD (14) statistical package
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.03.Ph.D.2015.Sa.B (Browse shelf(Opens below)) Not for loan 01010110068820000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.03.Ph.D.2015.Sa.B (Browse shelf(Opens below)) 68820.CD Not for loan 01020110068820000

Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies & Research - Department of Mathematical Statistics

In this thesis, presents point estimates of parameters for exponentiated Weibull Poisson distribution based on generalized order statistics using maximum likelihood and Bayesian methods. The asymptotic variances and covariance matrix and confidence interval estimates of parameters are derived based on generalized order statistics. Maximum likelihood and Bayesian predictive (point and interval) of the first future observations are obtained based on generalized order statistics. All results are specialized to type II censored data and upper record values. Bayesian prediction estimators of the first future observation from exponentiated Weibull Poisson distribution are obtained by using different loss functions. All estimation algorithms and numerical studies are carried out to asses these effects using MathCAD (14) statistical package

Issued also as CD

There are no comments on this title.

to post a comment.