000 02540cam a2200337 a 4500
003 EG-GiCUC
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008 151212s2015 ua f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.18.03.M.Sc.2015.Ha.B
100 0 _aHanem Mohamed Elsaied Khfagy
245 1 0 _aBayesian stress acceleration life testing plan under censoring for gamma life distribution /
_cHanem Mohamed Elsaied Khfagy ; Supervised Abdulhadi N. Ahmed , Ali Ahmed A-Rahman
246 1 5 _aخطة اختبار حياة بييزى لتعجيل الإجهاد تحت المراقبة لتوزيعات جاما
260 _aCairo :
_bHanem Mohamed Elsaied Khfagy ,
_c2015
300 _a88 Leaves ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics
520 _aThis study presents a new distribution using bayesian approach. The bayesian approach, in inference, is usually carried out in, choosing a probability density that expresses our degrees of beliefs about parameter before we see any data, choosing a statistical model that reflects our beliefs, after observing data we update our beliefs and forms the posterior distribution by applying Bayes{u2019} law of conditional probabilities. Acceptance sampling plans are commonly used to determine the acceptability of a product. When the life of a product is an important quality characteristic, sampling plans to determine acceptability of products with respect to life are called life test sampling plans. The objective of sampling plan is to find the minimum sample size and acceptability constant whose operating characteristic (OC) curve meets the requirements of the producer{u2019}s and the consumer{u2019}s risks. The objective of this dissertation is to propose ASPs for the mixture gamma - exponential distribution that we will derivate. We will assume the attribute sampling plan to find the minimum sample size and acceptance number. Hence assume the producer`s risk and consumer`s risk to drive the sampling plan, using MATHCAD
530 _aIssued also as CD
653 4 _aExponential distribution
653 4 _aGamma
653 4 _aLife test sampling plans
700 0 _aAbdulhadi N. Ahmed ,
_eSupervisor
700 0 _aAli Ahmed Abdelrahman ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aSamia
_eCataloger
942 _2ddc
_cTH
999 _c53898
_d53898