000			02329cam a2200337 a 4500
003			EG-GiCUC
005			20250223031710.0
008			170401s2016 ua f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aPh.D
099			_aCai01.18.03.Ph.D.2016.No.D
100	0		_aNoha Usama Mohamed
245	1	0	_aDiscriminating among competitive distributions under censored samples / _cNoha Usama Mohamed ; Supervised Elsayed Ahmed Elsherpieny , Hiba Zeyada Muhammed
246	1	5	_aا{uئإؤئ}{uئإ٩٧}{uئإإ٣}{uئإئ٣}{uئإئ٣}ز {uئإ٩١}{uئإئ٣}ن ا{uئإؤئ}{uئإ٩٧}وز{uئإئ٣}{uئإأأ}{uئإ٨إ}ت ا{uئإؤئ}{uئإإ٣}{uئإ٩٧}{uئإإ٧}{uئإ٨إ}{uئإؤ٣}{uئإآ٣}{uئإ٩٤} {uئإؤئ}{uئإإ٠}{uئإأأ}{uئإئ٣}{uئإإ٧}{uئإ٨إ}ت ا{uئإؤئ}{uئإإ٣}را{uئإؤ٧}{uئإ٩١}{uئإ٩٤}
260			_aCairo : _bNoha Usama Mohamed , _c2016
300			_a150 Leaves ; _c30cm
502			_aThesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics
520			_aIn this thesis the problem of discriminating between weibull and log logistic distribution, gamma and log logistic distribution under progressive censoring type II is considered. The maximized likelihood ratio test is used to discriminate between them. Also the problem of discriminating between gamma and log logistic under complete sample is considered. The maximized likelihood ratio test and kullback-leibler divergence is used to discriminate between them. Asymptotic distribution of the logarithm of the ratio of the maximized likelihood is obtained. These asymptotic results are used to estimate probability of correct selection, and to obtain the minimum sample size needed to discriminate between the two distribution functions. Two data sets are analyzed for illustrative purpose
530			_aIssued also as CD
653		4	_aAsymptotic distribution
653		4	_aLog logistic distribution
653		4	_aWeibull distribution
700	0		_aElsayed Ahmed Elsherpieny , _eSupervisor
700	0		_aHiba Zeyada Muhammed , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aSamia _eCataloger
942			_2ddc _cTH
999			_c60477 _d60477