Statistical Models Based on Counting Processes (Springer Series in Statistics).

Andersen, Per K., Ornulf Borgan and Richard D. Gill:

ISBN 10: 3540978720 / ISBN 13: 9783540978725

Published by Springer Berlin, 1993

About this Item

8°, 767 Seiten mit vielen Abb., Original-Pappeinband mit farbig illustr. Original-Umschlag - kleiner Namensstempel auf Vorsatz, Schnitt leicht gedunkelt, sonst sehr guter Zustand - 1993. ma21 ISBN: 3540978720 Sprache: Englisch Gewicht in Gramm: 1094.

Seller Inventory # 178865

Bibliographic Details

• Title: Statistical Models Based on Counting Processes (Springer Series in Statistics).
• Publisher: Springer Berlin
• Publication Date: 1993
• Language: English
• ISBN 10: 3540978720
• ISBN 13: 9783540978725
• Binding: Gebundene Ausgabe
• Condition: Gut
• Dust Jacket Condition: Dust Jacket Included
• Weight: 1094 grams
• Seller catalogs:
  • Naturwissenschaften

About this title

Synopsis

Modern survival analysis and more general event history analysis may be effectively handled in the mathematical framework of counting processes, stochastic integration, martingale central limit theory and product integration. This book presents this theory, which has been the subject of an intense research activity during the past one-and-a- half decades. The exposition of the theory is integrated with careful presentation of many practical examples, almost exclusively from the authors' own experience, with detailed numerical and graphical illustrations. Statistical Models Based on Counting Processes may be viewed as a research monograph for mathematical statisticians and biostatisticians, although almost all methods are given in concrete detail to be used in practice by other mathematically oriented researchers studying event histories (demographers, econometricians, epidemiologists, actuarial mathematicians, reliabilty engineers and biologists). Much of the material has so far only been available in the journal literature (if at all), and so a wide variety of researchers will find this an invaluable survey of the subject.
"This book is a masterful account of the counting process approach...is certain to be the standard reference for the area, and should be on the bookshelf of anyone interested in event-history analysis." International Statistical Institute Short Book Reviews "...this impressive reference, which contains a a wealth of powerful mathematics, practical examples, and analytic insights, as well as a complete integration of historical developments and recent advances in event history analysis." Journal of the American Statistical Association