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Titlebook: Statistical Models Based on Counting Processes; Per Kragh Andersen,Ørnulf Borgan,Niels Keiding Textbook 1993 Springer-Verlag New York, Inc

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Per Kragh Andersen,Ørnulf Borgan,Richard D. Gill,Niels Keiding
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0172-7397 (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 978-0-387-94519-4978-1-4612-4348-9Series ISSN 0172-7397 Series E-ISSN 2197-568X
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Nonparametric Hypothesis Testing,general remarks made in the Introduction to Chapter IV concerning the underlying model and the specification of the counting process under aggregation of censored, truncated, or filtered observations, still apply.
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Parametric Models,In the preceding two chapters, we have discussed nonparametric estimation and testing in the multiplicative intensity model for counting processes. In the present chapter, we will study parametric inference for this model and also for other counting process models with parametrically specified intensity processes.
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Multivariate Time Scales,A recurrent theme of this volume has been the importance of keeping detailed track of the various time dimensions relevant to each specific problem. So far, either our problems have had only one relevant time dimension or we have focused on one time dimension as “basic” or “underlying,” regarding others as (methodologically) secondary.
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Springer Series in Statisticshttp://image.papertrans.cn/s/image/876574.jpg
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