4 edition of **Statistical analysis of counting processes** found in the catalog.

- 347 Want to read
- 28 Currently reading

Published
**1982**
by Springer-Verlag in New York
.

Written in English

- Stochastic processes

**Edition Notes**

Statement | Martin Jacobsen. |

Series | Lecture notes in statistics ;, 12, Lecture notes in statistics (Springer-Verlag) ;, v. 12. |

Classifications | |
---|---|

LC Classifications | QA274 .J33 1982 |

The Physical Object | |

Pagination | vii, 226 p. ; |

Number of Pages | 226 |

ID Numbers | |

Open Library | OL3499069M |

ISBN 10 | 0387907696 |

LC Control Number | 82019241 |

-Short Book Reviews, International Statistical Institute Counting Processes and Survival Analysis explores the martingale approach to the statistical analysis of counting processes, with an emphasis . Some prior knowledge of survival analysis will help understand the example/application of counting process in the survival analysis. There is an equally good book on the counting processes: by Andersen, Borgan, Keiding, Gill Statistical Models Based on Counting Processes, Springer This book .

Ørnulf Borgan is Professor of Statistics, University of Oslo. His book with Andersen, Gill and Keiding on counting processes in survival analysis is a world classic. Norman E. Breslow was, at the time of his death, Professor Emeritus in Biostatistics, University of Washington. For decades, his book . Counting 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 Price: $

The Statistical Analysis of Failure Time Data / Edition 2. by John D. Kalbfleisch, Counting Processes and Asymptotic Theory. Introduction. "The book contains a wealth of material and analytic Brand: Wiley. Counting 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 5/5(1).

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Statistical Analysis of Counting Processes. Authors: Jacobsen, M that includes exactly the amount of probability required to deal satisfactorily and rigorously with statistical models for counting processes. *immediately available upon purchase as print book Brand: Springer-Verlag New York.

Statistical Analysis of Counting Processes (Lecture Notes in Statistics) Softcover reprint of the original 1st ed. Edition. by M. Jacobsen (Author) ISBN ISBN Why is ISBN important.

ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book Cited by: Odd Aalen in his thesis work developed a lot of the theory of counting processes.

Since survival analysis is based on time to event data and the Statistical analysis of counting processes book of the reliability of repairable systems involves counting Cited by: ISBN: OCLC Number: Description: vii, pages ; 24 cm.

Contents: 1. One-Dimensional Counting Processes.- Statistical Analysis of Counting Processes. Authors (view affiliations) Martin Jacobsen; Book. 83 The main topic of the notes is the theory of multiplicative intens ity models for counting processes, first. Counting 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.

Get this from a library. Statistical Analysis of Counting Processes. [Martin Jacobsen] -- A first version of these lecture notes was prepared for a course given in at the University of Copenhagen to a. example/application of counting process in the survival analysis.

There is an equally good book on the counting processes: by Andersen, Borgan, Keiding, Gill Statistical Models Based on Counting Processes, Springer This book contains many more examples of application. The book File Size: KB.

-Short Book Reviews, International Statistical Institute Counting Processes and Survival Analysis explores the martingale approach to the statistical analysis of counting processes, with an.

counting processes and survival analysis Download counting processes and survival analysis or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get counting processes and survival analysis book. 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.

useful statistical methods can be cast withi an unifyin g counting process framework, providing an elegant martingale based approach to understanding their properties.

This text explores the martingale. 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. Statistical Analysis of Counting Processes (Lecture Notes in Statistics 12) by Jacobsen, M. and a great selection of related books, art and collectibles available now at The definition of what is meant by statistics and statistical analysis has changed considerably over the last few decades.

Here are two contrasting definitions of what statistics is, from eminent professors in File Size: 1MB. Statistical Models Based on Counting Processes, by Andersen, Borgan, Gill and Keiding () Modelling Survival Data in Medical Research, by Collett (2nd edition ) This is the survival text book I.

: Statistical Models Based on Counting Processes (Springer Series in Statistics) () by Andersen, Per K. and a great selection of similar New, Used and Collectible /5(4). Modern survival analysis and more general event history analysis may be effectively handled within the mathematical framework of counting processes.

This book presents this theory, which has been the /5(3). -Short Book Reviews, International Statistical Institute Counting Processes and Survival Analysis explores the martingaleapproach to the statistical analysis of counting processes, with anemphasis on.

* Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns.

* Introduces the martingale and counting process formulation swil. I would like to analyze data where the dependent variable is a count and the independent variables are categorical. The count is the number of positive events out of the total.

* Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns. * Introduces the martingale and counting process .Buy Statistical Models Based on Counting Processes (Springer Series in Statistics) 1st ed. Corr.

4th printing by Per K. Andersen (ISBN: ) from Amazon's Book Store. Everyday /5(4).