Statistical Inference for Exponentiated Weibull Distribution: Based on Censored Samples

Abd Ellah, Ahmed Hamed/ Ahmed, Samah Mostafa/ Soliman, Ahmed

ISBN 10: 3659899186 / ISBN 13: 9783659899188

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

128 pages. 8.66x5.91x0.29 inches. In Stock.

Seller Inventory # 3659899186

Bibliographic Details

• Title: Statistical Inference for Exponentiated Weibull Distribution: Based on Censored Samples
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3659899186
• ISBN 13: 9783659899188
• Binding: Paperback
• Condition: Brand New
• Weight: 0.24 kilograms

About this title

Synopsis

The main purpose of this book is to obtain statistical vii estimation for an adaptive type-II progressive scheme from EWD. This book consists of fourth Chapters. Chapter 1, contains some basic concepts which will be used throughout this book. Also it shows the historical survey on some studies in theoretical and application which have been made on EWD. Chapter 2, is concerned with the estimation problem (point and interval estimations) for the EWD using an adaptive type-II progressive censored sample. We used the maximum likelihood, Bayes, and parametric bootstrap methods for estimating the unknown parameters as well as some lifetime parameters (reliability and hazard functions). Chapter 3, Based on an adaptive type-II progressive censored sample, we present Bayesian prediction intervals for future order failure times of components whose failure times have the EWD. We further consider two sample Bayes prediction to predicting future order statistics and upper record values from EWD. Chapter 4, is concerned with the problem of estimation the coefficient of variation of a population based on an adaptive type-II progressive censored sample.

About the Author

Prof. Ahmed Hamed Abd Ellah has obtained Ph.D. degree in mathematical statistics from South Valley University, Egypt. He is professor at Sohag University, Egypt. His research interests include prediction, estimation, simulation and distribution theory. He is currently professor at Al-Baha University, Saudi Arabia.