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040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aPh.D
099 _aCai01.18.03.Ph.D.2015.Ma.E
100 0 _aMarwa Yahya Ramdan Ahmed
245 1 0 _aEstimation problems for stress-strength model using ranked set sampling /
_cMarwa Yahya Ramdan Ahmed ; Supervised Amal Soliman Hassan , Salwa Mahmoud Samy Assar
246 1 5 _aمشاكل التقدير لنموذج الاجهاد - التحمل بإستخدام معاينة المجموعة المرتبة
260 _aCairo :
_bMarwa Yahya Ramdan Ahmed ,
_c2015
300 _a158 Leaves :
_bcharts ;
_c30cm
502 _aThesis (Ph.D.) - Cairo University - ِInsitute of statistical studies and research - Department of Mathematical Statistics
520 _aRanked set sampling approach is considered a cost efficient alternative to simple random sampling when observations are costly or time-consuming but the ranking of the observations without actual measurement can be done relatively easily. Many authors suggested different modifications for ranked set sampling to come up with new sampling techniques. Median ranked set sampling, extreme ranked set sampling and percentile ranked set sampling are some modifications for ranked set sampling. In this dissertation research, the estimation of when and are two independent Burr type XII distributions is considered. Maximum likelihood method is proposed to estimate based on ranked set sampling and some of its modifications. The research methodology adapted here is to estimate the reliability in multicomponent by using maximum likelihood method of estimation based on different types of ranked set sampling, the reliability estimators for stress strength model are obtained when samples drawn from Burr type XII distributions. Additionally, Bayesian estimator of R using squared error and linear exponential loss functions based on simple random sampling, ranked set sampling and median ranked set sampling. Numerical study is carried out to compare the different estimators
530 _aIssued also as CD
653 4 _aModifications of ranked set sampling
653 4 _aRanked Set Sampling
653 4 _aStress-Strength Model
700 0 _aAmal Soliman Hassan ,
_eSupervisor
700 0 _aSalwa Mahmoud Samy Assar ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aSoheir
_eCataloger
942 _2ddc
_cTH
999 _c55775
_d55775