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Statistical Analysis of Stochastic P...

Ebooks Corporation.

Statistical Analysis of Stochastic Processes in Time.[electronic resource].

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.23
書名/作者:	Statistical Analysis of Stochastic Processes in Time.
作者:	Lindsey, J. K.
其他作者:	Gill, R.
出版者:	Cambridge : : Cambridge University Press,, 2004.
面頁冊數:	354 p.
標題:	Stochastic processes.
ISBN:	9780511617164 (electronic bk.)
ISBN:	9780521837415 (print)
內容註:	Cover; Half-title; Series-title; Title; Copyright; Contents; Preface; Notation and symbols; 1 What is a stochastic process?; 2 Basics of statistical modelling; 3 Survival processes; 4 Recurrent events; 5 Discrete-time Markov chains; 6 Event histories; 7 Dynamic models; 8 More complex dependencies; 9 Time series; 10 Diffusion and volatility; 11 Dynamic models; 12 Growth curves; 13 Compartment models; 14 Repeated measurements; References; Author index; Subject index
摘要、提要註:	This introduction to ways of modelling phenomena that occur over time is accessible to anyone with a basic knowledge of statistical ideas. Examples from physical, biological and social sciences show how the principles can be put into practice: data sets and R code for these are supplied on author's website.
電子資源:	Click here to view book

Statistical Analysis of Stochastic Processes in Time.[electronic resource].
Lindsey, J. K.

Statistical Analysis of Stochastic Processes in Time.[electronic resource]. - Cambridge :Cambridge University Press,2004. - 354 p.

Cover; Half-title; Series-title; Title; Copyright; Contents; Preface; Notation and symbols; 1 What is a stochastic process?; 2 Basics of statistical modelling; 3 Survival processes; 4 Recurrent events; 5 Discrete-time Markov chains; 6 Event histories; 7 Dynamic models; 8 More complex dependencies; 9 Time series; 10 Diffusion and volatility; 11 Dynamic models; 12 Growth curves; 13 Compartment models; 14 Repeated measurements; References; Author index; Subject index

This introduction to ways of modelling phenomena that occur over time is accessible to anyone with a basic knowledge of statistical ideas. Examples from physical, biological and social sciences show how the principles can be put into practice: data sets and R code for these are supplied on author's website.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511617164 (electronic bk.)Subjects--Topical Terms:

177592
Stochastic processes.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: QA274 .L54 2004eb

Dewey Class. No.: 519.23

Statistical Analysis of Stochastic Processes in Time.[electronic resource].
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520 $a This introduction to ways of modelling phenomena that occur over time is accessible to anyone with a basic knowledge of statistical ideas. Examples from physical, biological and social sciences show how the principles can be put into practice: data sets and R code for these are supplied on author's website.
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700 1 $a Stein, M. $3 566254
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