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Using the method of the Kernel Weibull density to estimate the survival function in the case of complete data

استخدام طريقة كثافة نواة وايبل في تقدير دالة الحياة في حالة البيانات الكاملة

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 Publication date 2017
and research's language is العربية
 Created by Shamra Editor




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In this research, we estimate the survival function by using three nonparametric estimation methods and is to the method of Kaplan and Meier, the method Gaussian Kernel and method Weibull Kernel. Depending on the method of simulation and a complete real data from reality. Where we proposed a new method to estimate the survival function is to use Weibull Kernel and choose a new value to the optimal bandwidth, which have an important role in the estimation process.



References used
Bowman, A. W. and Azzalini, A. (1997) - Applied Smoothing Techniques for Data Analysis. Oxford Science Publications
EBLING, C.E, (1997) - An introduction to reliability engineering and maintainability engineering. New York, McGraw-Hill companies
Härdle Wolfgang, Müller Marlene, Sperlich Stefan, Werwatz Axel, (2004). Nonparametric and Semiparametric Models. Berlin: Springer
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يقدم هذا البحث تطوير لطريقة جديدة في التشفير تعتمتد على نوعين من الدوال الرياضية الأولى دالة النظائر الضربية والثانية طريقة فيجينير الكاملة تجعله أقدر على حماية النص المرسل أو الرسائل المبثوثة عبر وسائل الإعلام المختلفة , وذلك من خلال: 1. الاعتماد ع لى طريقة فيجينير الكاملة. 2. استخدام دالة النظير الضربي(257 )F(X) = (AX -1 + B)mod عناصرها (A, X , B) مصفوفات لها شروط خاصة بحيث تصبح قادرة على تشفير رسالة كاملة دفعة واحدة اعتمادا على حساب المصفوفات ذات المراتب العليا , مما يجعلها صعبة الكسر الأمر الذي يحافظ على أمن المعلومات داخل النصوص والرسائل المبثوثة. 3. قابلية تطبيق الطريقة حاسوبياً لتعطي نتائج سريعة و كبيرة .
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