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【时间序列与预测】 Introduction to Time Series and Forecasting (2016, 3e)   [推广有奖]

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Introduction to Time Series and Forecasting, 3rd Edition

Authors: Peter J. Brockwell, Richard A. Davis

cover.jpg

Designed for use in full-year courses introducing univariate and multivariate time series and forecasting at the advanced undergraduate and graduate levels

Exercise problems at the end of each chapter reinforce the methods through use of the programs to study provided data sets

Appendix teaches ITSM2000 Professional package (available as a free download); all material is easily applied to R packages and other programs

This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics.  This third edition contains detailed instructions for the use of the professional version of the Windows-based computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series model-building are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user's own choosing. The book can also be used in conjunction with other time series packages such as those included in R. The programs in ITSM2000 however are menu-driven and can be used with minimal investment of time in the computational details.

The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Many additional special topics are also covered.

New to this edition:

A chapter devoted to Financial Time Series
Introductions to Brownian motion, Lévy processes and Itô calculus
An expanded section on continuous-time ARMA processes

Table of contents

Front Matter
Pages i-xiv

Introduction
Pages 1-37

Stationary Processes
Pages 39-71

ARMA Models
Pages 73-96

Spectral Analysis
Pages 97-119

Modeling and Forecasting with ARMA Processes
Pages 121-155

Nonstationary and Seasonal Time Series Models
Pages 157-193

Time Series Models for Financial Data
Pages 195-226

Multivariate Time Series
Pages 227-257

State-Space Models
Pages 259-307

Forecasting Techniques
Pages 309-321

Further Topics
Pages 323-351

Back Matter
Pages 353-425

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关键词:introduction Forecasting Time Series troduction Forecast

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Nicolle 学生认证  发表于 2016-12-4 03:17:19 |只看作者 |坛友微信交流群
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熄灭的太阳 发表于 2016-12-4 04:58:13 |只看作者 |坛友微信交流群
马一个先

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zhouxinwj 发表于 2016-12-4 06:43:34 |只看作者 |坛友微信交流群
谢谢分享

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weapon3000 发表于 2016-12-4 07:02:22 |只看作者 |坛友微信交流群
正好需要这方面的基础书籍,赞一个!

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bemyself2008 发表于 2016-12-4 07:37:18 |只看作者 |坛友微信交流群
谢谢分享

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yangke74 在职认证  发表于 2016-12-4 08:36:10 |只看作者 |坛友微信交流群
好书,支持一下

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Thanks a lot

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