Statistical Models Based on Counting Processes:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
1993
|
| Schriftenreihe: | Springer Series in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (XI, 784p. 128 illus) |
| ISBN: | 9781461243489 9780387945194 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/978-1-4612-4348-9 |
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Datensatz im Suchindex
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| author | Andersen, Per Kragh |
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| author_variant | p k a pk pka |
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| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4612-4348-9 |
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| id | DE-604.BV042420275 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-06T09:04:01Z |
| institution | BVB |
| isbn | 9781461243489 9780387945194 |
| issn | 0172-7397 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027855692 |
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| physical | 1 Online-Ressource (XI, 784p. 128 illus) |
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| publishDate | 1993 |
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| publisher | Springer US |
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| series2 | Springer Series in Statistics |
| spelling | Andersen, Per Kragh Verfasser aut Statistical Models Based on Counting Processes by Per Kragh Andersen, Ørnulf Borgan, Richard D. Gill, Niels Keiding New York, NY Springer US 1993 1 Online-Ressource (XI, 784p. 128 illus) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 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 Statistics Statistics, general Statistik Punktprozess (DE-588)4138173-7 gnd rswk-swf Statistisches Modell (DE-588)4121722-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistisches Modell (DE-588)4121722-6 s Punktprozess (DE-588)4138173-7 s 1\p DE-604 Statistik (DE-588)4056995-0 s 2\p DE-604 Borgan, Ørnulf Sonstige oth Gill, Richard D. Sonstige oth Keiding, Niels Sonstige oth https://doi.org/10.1007/978-1-4612-4348-9 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Andersen, Per Kragh Statistical Models Based on Counting Processes Statistics Statistics, general Statistik Punktprozess (DE-588)4138173-7 gnd Statistisches Modell (DE-588)4121722-6 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4138173-7 (DE-588)4121722-6 (DE-588)4056995-0 |
| title | Statistical Models Based on Counting Processes |
| title_auth | Statistical Models Based on Counting Processes |
| title_exact_search | Statistical Models Based on Counting Processes |
| title_full | Statistical Models Based on Counting Processes by Per Kragh Andersen, Ørnulf Borgan, Richard D. Gill, Niels Keiding |
| title_fullStr | Statistical Models Based on Counting Processes by Per Kragh Andersen, Ørnulf Borgan, Richard D. Gill, Niels Keiding |
| title_full_unstemmed | Statistical Models Based on Counting Processes by Per Kragh Andersen, Ørnulf Borgan, Richard D. Gill, Niels Keiding |
| title_short | Statistical Models Based on Counting Processes |
| title_sort | statistical models based on counting processes |
| topic | Statistics Statistics, general Statistik Punktprozess (DE-588)4138173-7 gnd Statistisches Modell (DE-588)4121722-6 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistics Statistics, general Statistik Punktprozess Statistisches Modell |
| url | https://doi.org/10.1007/978-1-4612-4348-9 |
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