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Statistical Models Based on Counting Processes (Springer Series in Statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Statistical Models Based on Counting Processes (Springer Series in Statistics)
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Per K. Andersen 作者
Springer
譯者
1996-12-20 出版日期
795 頁數
USD 104.00 價格
Paperback
Springer Series in Statistics 叢書系列
9780387945194 圖書編碼

Statistical Models Based on Counting Processes (Springer Series in Statistics) 在線電子書 圖書標籤: models  Statistics  Statistical   

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Statistical Models Based on Counting Processes (Springer Series in Statistics) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Statistical Models Based on Counting Processes (Springer Series in Statistics) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Statistical Models Based on Counting Processes (Springer Series in Statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Statistical Models Based on Counting Processes (Springer Series in Statistics) 在線電子書 用戶評價

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Statistical Models Based on Counting Processes (Springer Series in Statistics) 在線電子書 著者簡介

Statistical Models Based on Counting Processes (Springer Series in Statistics) 在線電子書 著者簡介

Statistical Models Based on Counting Processes (Springer Series in Statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Statistical Models Based on Counting Processes (Springer Series in Statistics) 在線電子書 圖書描述

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 subject of intense research activity over the past 15 years. The exposition of the theory is integrated with careful presentation of many practical examples, drawn almost exclusively from the authors'own experience, with detailed numerical and graphical illustrations. Although Statistical Models Based on Counting Processes may be viewed as a research monograph for mathematical statisticians and biostatisticians, almost all the methods are given in concrete detail for use in practice by other mathematically oriented researchers studying event histories (demographers, econometricians, epidemiologists, actuarial mathematicians, reliability 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.

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