水槽 发表于 2025-3-23 10:34:11

Per Kragh Andersen,Ørnulf Borgan,Richard D. Gill,Niels Keiding

finite 发表于 2025-3-23 14:52:05

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

名次后缀 发表于 2025-3-23 20:15:17

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美丽的写 发表于 2025-3-23 22:52:53

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.

羽饰 发表于 2025-3-24 05:12:18

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.

使混合 发表于 2025-3-24 08:28:41

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.

盖他为秘密 发表于 2025-3-24 11:00:22

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无能力 发表于 2025-3-24 17:53:43

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一瞥 发表于 2025-3-24 22:49:43

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剥削 发表于 2025-3-25 02:52:36

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