Statistical Inference on Residual Life

Author:   Jong-Hyeon Jeong
Publisher:   Springer-Verlag New York Inc.
Edition:   2014 ed.
ISBN:  

9781493900046


Pages:   201
Publication Date:   21 January 2014
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Statistical Inference on Residual Life


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Full Product Details

Author:   Jong-Hyeon Jeong
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2014 ed.
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.496kg
ISBN:  

9781493900046


ISBN 10:   1493900048
Pages:   201
Publication Date:   21 January 2014
Audience:   Professional and 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

Introduction.- Inference on Mean Residual Life.- Quantile Residual Life.- Quantile Residual Life under Competing Risks.- Other Methods for Inference on Quantiles.- Study Design based on Quantile (Residual) Life.- Appendix: R codes.- References.- Index.

Reviews

From the reviews: This book on the statistical analysis of life expectancy focuses on history, research achievements, and recent developments in statistical inference on quantile residual lifetime. ... The intended audience includes graduate students and researchers both in academia and in industry who are interested in learning the theory and application of the residual life function. ... This book is strongly recommended to beginning researchers and statistician who are interested in learning the theory and application of the residual life function. (Samit Bhatheja, Doody's Book Reviews, May, 2014)


Author Information

Dr. Jong-Hyeon Jeong is a full professor of Biostatistics at the University of Pittsburgh. Dr. Jeong's main research area has been survival analysis and clinical trials. In survival analysis, he has worked on frailty modeling, efficiency of survival probability estimates from the proportional hazards model, weighted log-rank test, competing risks, quantile residual life, and likelihood theory such as empirical likelihood and hierarchical likelihood. In clinical trials, he has been involved in several phase III clinical trials on breast cancer treatment as the primary statistician. He has been teaching statistical theory courses and survival analysis in the Department of Biostatistics at the University of Pittsburgh. Dr. Jeong holds his PhD degree in statistics from the University of Rochester and has been an elected member of the International Statistical Institute (ISI) since 2007.

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