Weibull Distribution Based On Education Partly Interval Censored Data

الموضوعات

علوم بحتة وطبيعية

الملخص

The work in this project is concerned with the applying of techniques for the assessment of survival analysis in data that include censored observations. Survival analysis has a lot of achievement in the medical, engineering, economic, education and other fields and it also known as failure time analysis. Partly Interval Censoring (PIC) is one of the techniques of the censoring that used in the survival analysis and it can help to treat many types of data especially the incomplete data. One of the most commonly lifetime distribution used in the reliability applications is Weibull distribution. In this project we use Weibull model based on modified education partly interval censored data as well as medical data and simulation data. Based on the medical data, we found that our model is comparable with Turnbull method. From the education data and simulation study for this particular case, we can conclude that our proposed distribution describes well the nature of the model as compared to the Turnbull method in terms of the value of scale and shape parameter estimates. Plots of survival distribution function against failure time are used to examine the predicted survival patterns for the two types of failures.

روابط وملفات

التعريف والنوع

رقم الوثيقة

ff10fd32-d8ff-4dee-a39f-0479929dc233

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

7147_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Faiz Ahmed Elfaki","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"NOORA MOHSIN SAEED","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

Weibull Distribution Based On Education Partly Interval Censored Data

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

Faiz Ahmed Elfaki

الإعداد

NOORA MOHSIN SAEED

الاقتباسات الببليوغرافية