读过 Time Series Analysis and Its Applications 书名: Time Series Analysis and Its Applications 作者: Robert H. Shumway/David S. Stoffer 副标题: With R Examples 页数: 610 出版社: Springer 出版年: 2010-11-1 第一章第一节时序
Springer Texts in Statistics(共117册),这套丛书还有 《Testing Statistical Hypotheses》《Probability Theory》《Testing Statistical Hypotheses》《Probability for Statistics and Machine Learning》《Plane Answers to Complex Questions》等。 喜欢读"Time Series Analysis and Its Applications (4/e)"的人也喜欢 ·...
Time Series Analysis and Its Applications 电子书 读后感 评分☆☆☆ 这本书简洁清晰,有充足但不多余的例子和code。对初学者合适,用作有基础的人的参考书也合适。美中不足的是3.6 estimation of ARMA parameters讲的太混乱。如果只需要对estimation算法有个概念,看analysis of financial time series 相应章节。tim...
.edu/~stoffer/tsa.html.Additionally, the time series analysis package ASTSA, which is a nice programwritten by McQuarrie and Shumway (1994), can still be downloaded (as freeware)from these Web sites.The text has been reorganized a little for the second edition and the exposition hasbeen ex...
【中商原版】时间序列分析及其应用Time Series Analysis and Its Applications 英文原版 Robert H Shumway David S Stoffer 作者:Robert H. Shumway; David S. Stoffer出版社:Springer出版时间:2017年04月 手机专享价 ¥ 当当价 降价通知 ¥1142
Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using non-trivial data illustrate solutions to problems such as evaluating pain perception experiments using magnetic resonance imaging...
内容提示: 10.5 Forecasting Seasonal Models 241a monthly airline passenger time series. This model has come to be known as the airlinemodel. We ask you to analyze the original airline data in the exercises.10.5 Forecasting Seasonal ModelsComputing forecasts with seasonal ARIMA models is, as ...
基于R语言开发时间序列预测 Time Series Analysis With Applications in R 学习笔记 基于R语言开发时间序列预测 Time Series Analysis With Applications in R 学习笔记 基于R语言开发时间序列预测 Time Series Analysis With Applications in R 学点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 learn...
aTime series analytic methods have many applications in economics; here we consider five: (1)Analysisofthe cyclic properties of economic time series, (2) Description of seasonality and seasonal adjustment, (3) Forecasting, (4) Dynamic econometric modeling, and (5) Structural vector 时间数列分析...
摘要: This is the second edition of a text first published in 2000 and reviewed favorably in ASTA by Schmid (2003). The book is intended as a course text for a graduate-level time series analysis class. It presents a very readable introduction to time series, a 年份: 2008 收藏...