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Introduction to time series and forecasting / Peter J. Brockwell and Richard A. Davis.

By: Contributor(s): Material type: TextTextSeries: Springer texts in statisticsPublication details: Switzerland : Springer, 2016.Edition: 3rd edDescription: xiv, 425 pages : illustrations ; 29 cmISBN:
  • 9783319298528
Subject(s): DDC classification:
  • 000SA.3 23 B864
Contents:
1. Introduction -- 2. Stationary Processes -- 3. ARMA Models -- 4. Spectral Analysis -- 5. Modeling and Forecasting with ARMA Processes -- 6. Nonstationary and Seasonal Time Series Models -- 7. Time Series Models for Financial Data -- 8. Multivariate Time Series -- 9. State-Space Models -- 10. Forecasting Techniques -- 11. Further Topics -- Appendix A: Random Variables and Probability Distributions -- Appendix B: Statistical Complements -- Appendix C: Mean Square Convergence -- Appendix D: Lévy Processes, Brownian Motion and Itô Calculus -- Appendix E: An ITSM Tutorial -- References -- Index.
Summary: 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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.3 B864 (Browse shelf(Opens below)) Checked out 09/02/2025 137715
Total holds: 0

Includes bibliographical references and index.

1. Introduction --
2. Stationary Processes --
3. ARMA Models --
4. Spectral Analysis --
5. Modeling and Forecasting with ARMA Processes --
6. Nonstationary and Seasonal Time Series Models --
7. Time Series Models for Financial Data --
8. Multivariate Time Series --
9. State-Space Models --
10. Forecasting Techniques --
11. Further Topics --
Appendix A: Random Variables and Probability Distributions --
Appendix B: Statistical Complements --
Appendix C: Mean Square Convergence --
Appendix D: Lévy Processes, Brownian Motion and Itô Calculus --
Appendix E: An ITSM Tutorial --
References --
Index.

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.

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