Introduction to Time Series and Forecasting by Peter J Brockwell

Introduction to Time Series and Forecasting by Peter J Brockwell

Regular price
Checking stock...
Regular price
Checking stock...
Proud to be B-Corp

Our business meets the highest standards of verified social and environmental performance, public transparency and legal accountability to balance profit and purpose. In short, we care about people and the planet.

The feel-good place to buy books
  • Free delivery in the UK
  • Supporting authors with AuthorSHARE
  • 100% recyclable packaging
  • B Corp - kinder to people and planet
  • Buy-back with World of Books - Sell Your Books

Introduction to Time Series and Forecasting by Peter J Brockwell

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.
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

SKU Nicht verfügbar
ISBN 13 9781475777505
ISBN 10 1475777507
Titel Introduction to Time Series and Forecasting
Autor Peter J Brockwell
Serie Springer Texts In Statistics
Buchzustand Nicht verfügbar
Bindungsart Paperback
Verlag Springer-Verlag New York Inc.
Erscheinungsjahr 2013-04-23
Seitenanzahl 437
Hinweis auf dem Einband Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.