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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
"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
Reviews
"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
Authors and Affiliations
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Statistical Research Unit, University of Copenhagen, Copenhagen, Denmark
Per Kragh Andersen, Niels Keiding
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Institute of Mathematics, University of Oslo, Oslo, Norway
Ørnulf Borgan
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Faculty of Mathematics, University of Utrecht, Utrecht, The Netherlands
Richard D. Gill
Bibliographic Information
Book Title: Statistical Models Based on Counting Processes
Authors: Per Kragh Andersen, Ørnulf Borgan, Richard D. Gill, Niels Keiding
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-1-4612-4348-9
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag New York, Inc. 1993
Softcover ISBN: 978-0-387-94519-4Published: 23 June 1995
eBook ISBN: 978-1-4612-4348-9Published: 06 December 2012
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 1
Number of Pages: XI, 784
Topics: Statistical Theory and Methods