Hybrid Censoring Know-How: Designs and Implementations

Author:   Narayanaswamy Balakrishnan (Distinguished University Professor, Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada) ,  Erhard Cramer (Institute for Statistics and Business Mathematics, RWTH Aachen, Aachen, Germany) ,  Debasis Kundu (Rahul and Namita Gautam Chair Professor, Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, India)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780123983879


Pages:   406
Publication Date:   11 January 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $396.00 Quantity:  
Add to Cart

Share |

Hybrid Censoring Know-How: Designs and Implementations


Add your own review!

Overview

Full Product Details

Author:   Narayanaswamy Balakrishnan (Distinguished University Professor, Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada) ,  Erhard Cramer (Institute for Statistics and Business Mathematics, RWTH Aachen, Aachen, Germany) ,  Debasis Kundu (Rahul and Namita Gautam Chair Professor, Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, India)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   1.000kg
ISBN:  

9780123983879


ISBN 10:   0123983878
Pages:   406
Publication Date:   11 January 2023
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction 2. Preliminaries 3. Inference for Type-II, Type-I, and progressive censoring 4. Models and distributional properties of hybrid censoring designs 5. Inference for exponentially distributed lifetimes 6. Inference for other lifetime distributions 7. Progressive hybrid censored data 8. Informationmeasures 9. Step-stress testing 10. Applications in reliability 11. Goodness-of-fit tests 12. Prediction methods 13. Adaptive progressive hybrid censoring Appendix

Reviews

Life science and engineering scientists and researchers who need to analyze censored or truncated life time data and students, researchers and practitioners in different areas such as statistics, industrial engineering and clinical trials.


Author Information

Narayanaswamy Balakrishnan is a distinguished university professor in the Department of Mathematics and Statistics at McMaster University Hamilton, Ontario, Canada. He is an internationally recognized expert on statistical distribution theory, and a book-powerhouse with over 24 authored books, four authored handbooks, and 30 edited books under his name. He is currently the Editor-in-Chief of Communications in Statistics published by Taylor & Francis. He was also the Editor-in-Chief for the revised version of Encyclopedia of Statistical Sciences published by John Wiley & Sons. He is a Fellow of the American Statistical Association and a Fellow of the Institute of Mathematical Statistics. In 2016, he was awarded an Honorary Doctorate from The National and Kapodistrian University of Athens, Athens, Greece. In 2021, he was elected as a Fellow of the Royal Society of Canada. Erhard Cramer is a Professor in the Institute for Statistics at RWTH Aachen University in Aachen, Germany. He has numerous publications to his credit and his research interests include order statistics, generalized order statistics, censoring methodology, B-spline theory, and statistical inference. He is a coauthor of the book The Art of Progressive Censoring: Applications to Reliability and Quality published by Birkhäuser, Boston, in 2014. Debasis Kundu is a Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology Kanpur, India, which he joined in 1990. He had previously worked as Assistant Professor at the University of Texas at Dallas, USA, after completing his PhD in Statistics at Pennsylvania State University, USA. His research interests include statistical signal processing, nonlinear regression, distribution theory, statistical computing, and reliability and survival analysis.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List