Time Series Analysis: Forecasting and Control, 5/e (Hardcover)
George E. P. Box, Gwilym M. Jenkins, Gregory C. Reinsel, Greta M. Ljung
- 出版商: Wiley
- 出版日期: 2015-06-29
- 售價: $1,744
- 語言: 英文
- 頁數: 712
- 裝訂: Hardcover
- ISBN: 1118675029
- ISBN-13: 9781118675021
-
相關分類:
大數據 Big-data、機率統計學 Probability-and-statistics、Machine Learning
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相關主題
商品描述
<內容簡介>
●A redesigned chapter on multivariate time series analysis with an expanded treatment of Vector Autoregressive, or VAR models, along with a discussion of the analytical tools needed for modeling vector time series
●An expanded chapter on special topics covering unit root testing, time-varying volatility models such as ARCH and GARCH, nonlinear time series models, and long memory models
●Numerous examples drawn from finance, economics, engineering, and other related fields
●The use of the publicly available R software for graphical illustrations and numerical calculations along with scripts that demonstrate the use of R for model building and forecasting
●Updates to literature references throughout and new end-of-chapter exercises
●Streamlined chapter introductions and revisions that update and enhance the exposition
Time Series Analysis: Forecasting and Control, Fifth Edition is a valuable real-world reference for researchers and practitioners in time series analysis, econometrics, finance, and related fields. The book is also an excellent textbook for beginning graduate-level courses in advanced statistics, mathematics, economics, finance, engineering, and physics.
Praise for the Fourth Edition
“The book follows faithfully the style of the original edition. The approach is heavily motivated by real-world time series, and by developing a complete approach to model building, estimation, forecasting and control."
- Mathematical Reviews
Bridging classical models and modern topics, the Fifth Edition of Time Series Analysis: Forecasting and Control maintains a balanced presentation of the tools for modeling and analyzing time series. Also describing the latest developments that have occurred in the field over the past decade through applications from areas such as business, finance, and engineering, the Fifth Edition continues to serve as one of the most influential and prominent works on the subject.
Time Series Analysis: Forecasting and Control, Fifth Edition provides a clearly written exploration of the key methods for building, classifying, testing, and analyzing stochastic models for time series and describes their use in five important areas of application: forecasting; determining the transfer function of a system; modeling the effects of intervention events; developing multivariate dynamic models; and designing simple control schemes.
<章節目錄>
1 Introduction
PART ONE STOCHASTIC MODELS AND THEIR FORECASTING
2 Autocorrelation Function and Spectrum of Stationary Processes
3 Linear Stationary Models
4 Linear Nonstationary Models
5 Forecasting
PART TWO STOCHASTIC MODEL BUILDING
6 Model Identification
7 Parameter Estimation
8 Model Diagnostic Checking
9 Analysis of Seasonal Time Series
10 Additional Topics and Extensions
PART THREE TRANSFER FUNCTION AND MULTIVARIATE MODEL BUILDING
11 Transfer Function Models
12 Identification Fitting and Checking of Transfer Function Models
13 Intervention Analysis Outlier Detection and Missing Values
14 Multivariate Time Series Analysis
PART FOUR DESIGN OF DISCRETE CONTROL SCHEMES
15 Aspects of Process Control
PART FIVE CHARTS AND TABLES
COLLECTION OF TABLES AND CHARTS
COLLECTION OF TIME SERIES USED FOR EXAMPLES IN THE TEXT AND IN EXERCISES
商品描述(中文翻譯)
內容簡介:
本書第五版新增了對多變量時間序列分析的重新設計章節,擴展了對向量自迴歸(VAR)模型的處理,並討論了建模向量時間序列所需的分析工具。
此外,還擴展了特殊主題章節,包括單根檢定、時間變化波動模型(如ARCH和GARCH)、非線性時間序列模型和長記憶模型。
書中提供了來自金融、經濟、工程和其他相關領域的許多實例。
書中使用了公開可用的R軟件進行圖形示例和數值計算,並提供了演示如何使用R進行模型構建和預測的腳本。
全書更新了文獻參考資料,並新增了章節結尾的練習題。
章節介紹經過精簡修改,更新並增強了內容的呈現方式。
《時間序列分析:預測與控制,第五版》是時間序列分析、計量經濟學、金融等相關領域的研究人員和從業人員的寶貴實用參考資料。本書也是高級統計學、數學、經濟學、金融學、工程學和物理學等研究生入門課程的優秀教材。
第四版好評如潮:
「本書忠實地遵循了原版的風格。其方法主要基於現實世界的時間序列,並通過完整的模型構建、估計、預測和控制方法來進行深入探討。」
-《數學評論》