9780792337836-0792337832-Lifetime Data: Models in Reliability and Survival Analysis

Lifetime Data: Models in Reliability and Survival Analysis

ISBN-13: 9780792337836
ISBN-10: 0792337832
Edition: 1996
Author: Nicholas P. Jewell, Mei-Ling Ting Lee, Alan C. Kimber, G. Alex Whitmore
Publication date: 1995
Publisher: Springer
Format: Hardcover 422 pages
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ISBN-13: 9780792337836
ISBN-10: 0792337832
Edition: 1996
Author: Nicholas P. Jewell, Mei-Ling Ting Lee, Alan C. Kimber, G. Alex Whitmore
Publication date: 1995
Publisher: Springer
Format: Hardcover 422 pages

Summary

Lifetime Data: Models in Reliability and Survival Analysis (ISBN-13: 9780792337836 and ISBN-10: 0792337832), written by authors Nicholas P. Jewell, Mei-Ling Ting Lee, Alan C. Kimber, G. Alex Whitmore, was published by Springer in 1995. With an overall rating of 4.0 stars, it's a notable title among other Technology (Administration & Medicine Economics) books. You can easily purchase or rent Lifetime Data: Models in Reliability and Survival Analysis (Hardcover) from BooksRun, along with many other new and used Technology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied to the study of the incubation period of diseases such as AIDS, the remission time of cancers, life tables, the time-to-failure of engineering systems, employment duration, and the length of marriages.
This volume contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University. The conference brought together a varied group of researchers and practitioners to advance and promote statistical science in the many fields that deal with lifetime and other time-to-event-data. The volume illustrates the depth and diversity of the field. A few of the authors have published their conference presentations in the new journal Lifetime Data Analysis (Kluwer Academic Publishers).

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