Forecasting with Univariate Box – Jenkins Models. Concepts and Cases. Wiley Series in Probability and Statistics

  • ID: 2174425
  • Book
  • 576 Pages
  • John Wiley and Sons Ltd
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Explains the concepts and use of univariate Box–Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step–by–step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another.
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BASIC CONCEPTS.

Overview.

Introduction to Box–Jenkins Analysis of a Single Data Series.

Underlying Statistical Principles.

An Introduction to the Practice of ARIMA Modeling.

Notation and the Interpretation of ARIMA Models.

Identification: Stationary Models.

Identification: Nonstationary Models.

Estimation.

Diagnostic Checking.

Forecasting.

Seasonal and Other Periodic Models.

THE ART OF ARIMA MODELING.

Practical Rules.

References.

Index.
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Alan Pankratz
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