Mixed Poisson Processes

Author:   J Grandell ,  D.R. Cox (Nuffield College, Oxford University, UK) ,  N. Reid (University of Toronto, Ontario, Canada) ,  Valerie Isham
Publisher:   Taylor & Francis Ltd
Volume:   77
ISBN:  

9780412787003


Pages:   280
Publication Date:   01 May 1997
Format:   Hardback
Availability:   In Print   Availability explained
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Mixed Poisson Processes


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Author:   J Grandell ,  D.R. Cox (Nuffield College, Oxford University, UK) ,  N. Reid (University of Toronto, Ontario, Canada) ,  Valerie Isham
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Volume:   77
Dimensions:   Width: 13.80cm , Height: 1.90cm , Length: 21.60cm
Weight:   0.453kg
ISBN:  

9780412787003


ISBN 10:   0412787008
Pages:   280
Publication Date:   01 May 1997
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preface -- 1 Introduction -- 2 The mixed Poisson distribution -- 3 Some basic concepts -- 4 The mixed Poisson process -- 5 Some related processes -- 5.1 Cox processes -- 5.2 Gauss-Poisson processes -- 5.3 Mixed renewal processes -- 6 Characterization of mixed Poisson processes -- 6.1 Characterization within birth processes -- 6.2 Characterization within stationary point processes -- 6.3 Characterization within general point processes -- 7 Reliability properties of mixed Poisson processes -- 8 Compound mixed Poisson distributions -- 8.1 Compound distributions -- 8.2 Exponential bounds -- 8.3 Asymptotic behaviour -- 8.4 Recursive evaluation -- 9 The risk business -- 9.1 The claim process -- 9.2 Ruin probabilities -- References and author index -- List of notation -- Subject index.

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Author Information

Jan Crandall is Professor of Mathematical Statistics in the Department of Mathematics at the Royal Institute of Technology, Stockholm, Sweden.

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