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Introduction to time series and forecasting Peter J Brockwell

By: Contributor(s): Material type: TextTextPublication details: Springer International Publishing 2016 SwitzerlandEdition: 3rd edDescription: xiv, 425 pISBN:
  • 9783319298528
Subject(s): DDC classification:
  • 519.55 B7I6
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. http://www.springer.com/in/book/9783319298528
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Ahmedabad Non-fiction 519.55 B7I6 (Browse shelf(Opens below)) Available 194764
Book Book Raipur 519.55 BRO-16 (Browse shelf(Opens below)) Available IIMRP-10201
Book Book Visakhapatnam General Stacks 519.55 BRO (Browse shelf(Opens below)) Available IIMV-001130
Total holds: 0

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.




http://www.springer.com/in/book/9783319298528

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