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Time series: theory and methods Brockwell, Peter J.

By: Contributor(s): Material type: TextTextSeries: Springer series in statisticsPublication details: New York Springer 1991 Edition: 2nd edDescription: xvi, 577 pISBN:
  • 9780387974293
Subject(s): DDC classification:
  • 519.55
Summary: Teh book is a systematic account of linear time series models and their application to the modelling and prediction of data collected sequentially in time. The aim is to provide specific techniques for handling data and at the same time to provide a thorough understanding of the mathematical basis for techniques. Both time and frequency domain methods are discussed, but the book is written in such a way that either approach could be emphasized. The book intended to be a text for graduate students in statistics, mathematics, engineering, and the natural or social sciences. It contains substantial chapters on multivariate series and state-space models (including applications of the Kalman recursions to missing-value problems) and shorter accounts of special topics including long-range dependence, infinite variance processes and non-linear models.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Book Book Ahmedabad 519.55 B7T4 (Browse shelf(Opens below)) Available 160574
Total holds: 0

Includes bibliographical references (p. [561]-566) and index.

Teh book is a systematic account of linear time series models and their application to the modelling and prediction of data collected sequentially in time. The aim is to provide specific techniques for handling data and at the same time to provide a thorough understanding of the mathematical basis for techniques. Both time and frequency domain methods are discussed, but the book is written in such a way that either approach could be emphasized. The book intended to be a text for graduate students in statistics, mathematics, engineering, and the natural or social sciences. It contains substantial chapters on multivariate series and state-space models (including applications of the Kalman recursions to missing-value problems) and shorter accounts of special topics including long-range dependence, infinite variance processes and non-linear models.

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