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Statistical Analysis of Stochastic Processes in Time(2004)  무료배송

 
지은이 : J. K. Lindsey, R. Gill
출판사 : Cambridge
판수 : 1 edition
페이지수 : 352 pages
ISBN : 0521837413
예상출고일 : 입금확인후 2일 이내
주문수량 :
도서가격 : 품절
   

 
This introduction to ways of modelling a wide variety of phenomena that occur over time is accessible to anyone with a basic knowledge of statistical ideas. J.K. Lindsey concentrates on tractable models involving simple processes for which explicit probability models, hence likelihood functions, can be specified. (These models are the most useful in statistical applications modelling empirical data.) Examples are drawn from physical, biological and social sciences, to show how the book's underlying ideas can be applied and data sets and R code are supplied for them.
Preface; Part I. Basic Principles: 1. What is a stochastic process?; 2. Normal theory models and extensions; Part II. Categorical State Space: 3. Survival processes; 4. Recurrent events; 5. Discrete-time Markov chains; 6. Event histories; 7. Dynamics models; 8. More complex dependencies; Part III. Continuous State Space: 9. Time series; 10. Growth curves; 11. Dynamic models; 12. Repeated measurements; Bibliography; Author index; Subject index.
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