9780471769880 - Counting Processes and Survival Analysis (Wiley Series in Probability and Statistics) von Fleming, Thomas R. (9 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780471769880.

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780471769880.

Zustand: New. In.

Zustand: New. pp. 448.

Kartoniert / Broschiert. Zustand: New. THOMAS R. FLEMING, PhD, is Professor and Chairman of Biostatistics at the University of Washington.DAVID P. HARRINGTON, PhD, is Professor of Biostatistics at the Harvard School of Public Health.The Wiley-Interscience Paperback Series consists of selecte.

Paperback. Zustand: Brand New. 2revised ed edition. 448 pages. 8.75x5.75x1.00 inches. In Stock.

Zustand: New. This book explores the martingale approach to the statistical analysis of counting processes, with an emphasis on application of those methods to censored failure time data. Introduced in the 1970s, this approach has proven to be remarkably successful in yielding results about statistical methods for many problems arising in censored data. Series: Wiley Series in Probability and Statistics. Num Pages: 448 pages, black & white illustrations, black & white tables, graphs. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 229 x 153 x 21. Weight in Grams: 585. . 2005. 2nd. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Neuware - The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.'The book is a valuable completion of the literature in this field. It is written in an ambitious mathematical style and can be recommended to statisticians as well as biostatisticians.'-Biometrische Zeitschrift'Not many books manage to combine convincingly topics from probability theory over mathematical statistics to applied statistics. This is one of them. The book has other strong points to recommend it: it is written with meticulous care, in a lucid style, general results being illustrated by examples from statistical theory and practice, and a bunch of exercises serve to further elucidate and elaborate on the text.'-Mathematical Reviews'This book gives a thorough introduction to martingale and counting process methods in survival analysis thereby filling a gap in the literature.'-Zentralblatt für Mathematik und ihre Grenzgebiete/Mathematics Abstracts'The authors have performed a valuable service to researchers in providing this material in [a] self-contained and accessible form. . . This text [is] essential reading for the probabilist or mathematical statistician working in the area of survival analysis.'-Short Book Reviews, International Statistical InstituteCounting Processes and Survival Analysis explores the martingale approach to the statistical analysis of counting processes, with an emphasis on the application of those methods to censored failure time data. This approach has proven remarkably successful in yielding results about statistical methods for many problems arising in censored data. A thorough treatment of the calculus of martingales as well as the most important applications of these methods to censored data is offered. Additionally, the book examines classical problems in asymptotic distribution theory for counting process methods and newer methods for graphical analysis and diagnostics of censored data. Exercises are included to provide practice in applying martingale methods and insight into the calculus itself.