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Statistical Models Based on Counting Processes (Springer Series in Statistics)
Andersen, Per Kragh, Borgan, Ornulf, Gill, Richard D., Keiding, Niels
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Description for Statistical Models Based on Counting Processes (Springer Series in Statistics)
Paperback.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
1996
Publisher
Springer
Condition
New
Number of Pages
784
Place of Publication
New York, NY, United States
ISBN
9780387945194
SKU
V9780387945194
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Statistical Models Based on Counting Processes (Springer Series in Statistics)
"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 ... Read more