Introduction to Time Series and Forecasting

Author:   Peter J. Brockwell ,  Richard A. Davis
Publisher:   Springer-Verlag New York Inc.
Edition:   2nd ed. 2002. Softcover reprint of the original 2nd ed. 2002
ISBN:  

9781475777505


Pages:   437
Publication Date:   23 April 2013
Replaced By:   9783319298528
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Introduction to Time Series and Forecasting


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Overview

Some of the key mathematical results are stated without proof in order to make the underlying theory accessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The emphasis is on methods and the analysis of data sets. The logic and tools of model-building for stationary and nonstationary time series are developed in detail and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills in this area. 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. Additional topics include harmonic regression, the Burg and Hannan-Rissanen algorithms, unit roots, regression with ARMA errors, structural models, the EM algorithm, generalized state-space models with applications to time series of count data, exponential smoothing, the Holt-Winters and ARAR forecasting algorithms, transfer function models and intervention analysis. Brief introductions are also given to cointegration and to nonlinear, continuous-time and long-memory models. The time series package included in the back of the book is a slightly modified version of the package ITSM, published separately as ITSM for Windows, by Springer-Verlag, 1994. It does not handle such large data sets as ITSM for Windows, but like the latter, runs on IBM-PC compatible computers under either DOS or Windows (version 3.1 or later). The programs are all menu-driven so that the reader can immediately apply the techniques in the book to time series data, with a minimal investment of time in the computational and algorithmic aspects of the analysis.

Full Product Details

Author:   Peter J. Brockwell ,  Richard A. Davis
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2nd ed. 2002. Softcover reprint of the original 2nd ed. 2002
Dimensions:   Width: 21.00cm , Height: 2.30cm , Length: 27.90cm
Weight:   1.135kg
ISBN:  

9781475777505


ISBN 10:   1475777507
Pages:   437
Publication Date:   23 April 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Replaced By:   9783319298528
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Stationary Processes.- ARMA Models.- Spectral Analysis.- Modeling and Forecasting with ARMA Processes.- Nonstationary and Seasonal Time Series Models.- Multivariate Time Series.- State-Space Models.- Forecasting Techniques.- Further Topics.- Erratum.

Reviews

From the reviews: The emphasis is on hands-on experience and the friendly software that accompanies the book serves the purpose admirably. ... The authors should be congratulated for making the subject accessible and fun to learn. The book is a pleasure to read and highly recommended. I regard it as the best introductory text in town. ISI Short Book Reviews


"From the reviews: ""The emphasis is on hands-on experience and the friendly software that accompanies the book serves the purpose admirably. ... The authors should be congratulated for making the subject accessible and fun to learn. The book is a pleasure to read and highly recommended. I regard it as the best introductory text in town."" ISI Short Book Reviews"


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