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analysis of time series data using R 用R语言处理时间序列数据

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发表于 2011-6-6 00:26:56 | 显示全部楼层 |阅读模式
The purpose of this lecture notes Preface is designed to provide an overview of methods that are useful for analyzing univariate and multivariate phenomena measured over time. Since this is a course emphasizing applications with both theory and applications, the reader is guided through examples involving real time series in the lectures. A collection of simple theoretical and applied exercises assuming a background that includes a beginning level

course in mathematical statistics and some computing skills follows each chapter.
More importantly, the computer code in R and datasets are provided for most of examples analyzed in this lecture notes.  Some materials are based on the lecture notes given by Professor Robert H. Shumway, Department  of  Statistics, University of California at Davis  and  my colleague,  Professor Stanislav Radchenko, Department of Economics, University of North Carolina at Charlotte.
Some datasets are provided by Professor Robert H. Shumway, Department of Statistics, Uni- versity of California at Davis and Professor Phillips Hans Franses at University of Rotterdam, Netherland. I am very grateful to them for providing their lecture notes and datasets.

analysis of time series data using r.pdf (1.61 MB, 下载次数: 11, 售价: 3 金钱)
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发表于 2011-11-25 13:40:02 | 显示全部楼层
求中文版,看英文版有点累!
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发表于 2013-12-30 14:36:58 | 显示全部楼层
多谢楼主分享,就是有点儿贵呀~~~
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发表于 2013-12-30 14:38:06 | 显示全部楼层
多谢楼主分享,就是有点儿贵呀~
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