Kindle电子书价格: ¥395.76

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“State-Space Methods for Time Series Analysis: Theory, Applications and Software (Chapman & Hall/CRC Monographs on Statistics and Applied Probability Book 149) (English Edition)”,作者:[Jose Casals, Alfredo Garcia-Hiernaux, Miguel Jerez, Sonia Sotoca, A. Alexandre Trindade]

State-Space Methods for Time Series Analysis: Theory, Applications and Software (Chapman & Hall/CRC Monographs on Statistics and Applied Probability Book 149) (English Edition) 1第一 版本, Kindle电子书

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Kindle电子书, 2018年9月3日
¥395.76
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"The way the authors of describe their book, it is the fruit of a long-lasting love affair with state space models, which started in the 1980s, inspired by the work of Box and Jenkins. Judging from the density of equations and symbols, it must be the theory of the subject that attracts them most. ... This book is not for the fainthearted. It explains a lotabout state space models. To use them, you have to accept the philosophy of detailed modelling of time series. In summary, if you are a specialist, or want to become one, you will like this book." - Paul Eilers, ISCB News, May 2017 "This book synthesizes and presents the computational advantages of the state-space approach over the traditional time domain approaches to linear time series analysis. The explicit connection between the mainstream ARIMA time series models and the state-space representation, one of the main features of the book, is achieved by presenting many examples and procedures to combine, decompose, aggregate, and disaggregate an economic time series into the state-space form. More specifically, it provides a bridge for going back and forth between state-space models and the broad class of VARMAX models...Overall, this is a useful book on sate-space methods for time series analysis and covers substantial amount of material lucidly with a focus on computational aspects and software. It is an excellent reference book for self-study and can also be used as a companion for teaching time series analysis along with a standard time series text." -Mohsen Pourahmadi, Texas A&M University, in the Journal of Time Series Analysis, June 2017 --此文字指其他 kindle_edition 版本。

作者简介

Jose Casals is head of global risk management at Bankia. He is also an associate professor of econometrics at Universidad Complutense de Madrid. Alfredo Garcia-Hiernaux is an associate professor of econometrics at Universidad Complutense de Madrid and a freelance consultant. Miguel Jerez is an associate professor of econometrics at Universidad Complutense de Madrid and a freelance consultant. He was previously executive vice-president at Caja de Madrid for six years. Sonia Sotoca is an associate professor of econometrics at Universidad Complutense de Madrid. Drs. Casals, Garcia-Hiernaux, Jerez, and Sotoca are all engaged in a long-term research project to apply state-space techniques to standard econometric problems. Their common research interests include state-space methods and time series econometrics. A. Alexandre (Alex) Trindade is a professor of statistics in the Department of Mathematics and Statistics at Texas Tech University and an adjunct professor in the Graduate School of Biomedical Sciences at Texas Tech University Health Sciences Center. His research spans a broad swath of theoretical and computational statistics. --此文字指其他 kindle_edition 版本。

基本信息

  • ASIN ‏ : ‎ B07H7JYHBX
  • 出版社 ‏ : ‎ Chapman and Hall/CRC; 第 1st 版 (2018年9月3日)
  • 出版日期 ‏ : ‎ 2018年9月3日
  • 语言 ‏ : ‎ 英语
  • 文件大小 ‏ : ‎ 20729 KB
  • 同步设备使用情况: ‏ : ‎ 根据出版商限制,最多 4 台同步设备
  • 标准语音朗读 ‏ : ‎ 已启用
  • X-Ray ‏ : ‎ 未启用
  • 生词提示功能 ‏ : ‎ 未启用
  • 纸书页数 ‏ : ‎ 298页
  • 用户评分:
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Peter Lux
5.0 颗星,最多 5 颗星 Still working through the math, but this is the ...
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