تقدير دالة المخاطرة للتوزيع المركب الجديد (Akash – Exponential) مع التطبيق

الموضوعات

إحصاء

روابط وملفات

التعريف والنوع

رقم الوثيقة

04d57a4f-bbf2-40da-a837-380f2ccbfee9

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf image

أسماء الملفات

04d57a4f-bbf2-40da-a837-380f2ccbfee9_1.pdf

بيانات النشر

ترجمة العنوان

Estimating the risk function of the new composite distribution (Exponential - Akash) with the application

ألقاب المؤلفين

[{"name_ar":"حسن عبدالهادي حسين المالكي","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"ريسان عبد الامام زعلان","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

Arabic

المصدر والدورية

اسم المصدر

تقدير دالة المخاطرة للتوزيع المركب الجديد (Akash – Exponential) مع التطبيق

المحتوى والصفحات

عدد الصفحات

163

ترجمة الملخص

The study of risk analysis for breast cancer patients using different distributions, especially depends mainly on estimating the risk function, as the distributions were used to model data in many fields of medicine. Some of the traditional probability distributions are not suitable for the studied phenomenon, and in order to improve the relevance of the data for these distributions, it was established New families of distributions, which are composite distributions. Therefore, complex distributions will be obtained by using the fitting method (T-X family) to make these distributions more flexible for practical application on real evidence, and then estimate the risk function for these new distributions, which will be more efficient and better in representing Risk functions .In this thesis, a new probability distribution (Exponential -Akash) was found using the method of fitting (T-X family). It is a distribution resulting from the combination of two continuous distributions, namely the exponential distribution and the Akash distribution. Maximum Likelihood Method (mle), fractional estimators (pc) method, and Maximum Product Spacing (mps) method. The Monte Carlo method was used in simulation onthe (Mathematical-13) program on the experimental side and to find the best estimate for the parameters and by using several sample sizes (25, 50, 100, 200), in order to find out the effect of the sample size on the results, then a comparison was made between the estimations of the three methods using a standard sample data Real, represented by the duration of their survival until death or recovery for patients with breast cancer, and through the results obtained from the experimental part, and finally the best probability distribution was chosen by using the Akiki criterion, the corrected Akiki criterion, and the Bayesian information criterion. ) is the best distribution.

إشراف وإعداد

الإشراف

ريسان عبد الامام زعلان

الإعداد

حسن عبدالهادي حسين المالكي

الاقتباسات الببليوغرافية