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Introduction to time series and fore...
~
Davis, Richard A.
Introduction to time series and forecasting
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Introduction to time series and forecasting/ by Peter J. Brockwell, Richard A. Davis.
Author:
Brockwell, Peter J.
other author:
Davis, Richard A.
Published:
Cham :Springer International Publishing : : 2016.,
Description:
xiv, 425 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Time-series analysis. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-29854-2
ISBN:
9783319298542
Introduction to time series and forecasting
Brockwell, Peter J.
Introduction to time series and forecasting
[electronic resource] /by Peter J. Brockwell, Richard A. Davis. - 3rd ed. - Cham :Springer International Publishing :2016. - xiv, 425 p. :ill., digital ;24 cm. - Springer texts in statistics,1431-875X. - Springer texts in statistics..
Introduction -- Stationary Processes -- ARMA Models -- Spectral Analysis -- Modeling and Forecasting with ARMA Processes -- Nonstationary and Seasonal Time Series Models -- Time Series Models for Financial Data -- Multivariate Time Series -- State-Space Models -- Forecasting Techniques -- Further Topics -- Appendix A: Random Variables and Probability Distributions -- Appendix B: Statistical Complements -- Appendix C: Mean Square Convergence -- Appendix D: Levy Processes, Brownian Motion and Itô Calculus -- Appendix E: An ITSM Tutorial -- References -- Index.
ISBN: 9783319298542
Standard No.: 10.1007/978-3-319-29854-2doiSubjects--Topical Terms:
528412
Time-series analysis.
LC Class. No.: QA280
Dewey Class. No.: 519.55
Introduction to time series and forecasting
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Introduction to time series and forecasting
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by Peter J. Brockwell, Richard A. Davis.
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3rd ed.
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2016.
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Imprint: Springer,
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xiv, 425 p. :
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ill., digital ;
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24 cm.
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Springer texts in statistics,
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1431-875X
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Introduction -- Stationary Processes -- ARMA Models -- Spectral Analysis -- Modeling and Forecasting with ARMA Processes -- Nonstationary and Seasonal Time Series Models -- Time Series Models for Financial Data -- Multivariate Time Series -- State-Space Models -- Forecasting Techniques -- Further Topics -- Appendix A: Random Variables and Probability Distributions -- Appendix B: Statistical Complements -- Appendix C: Mean Square Convergence -- Appendix D: Levy Processes, Brownian Motion and Itô Calculus -- Appendix E: An ITSM Tutorial -- References -- Index.
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Time-series analysis.
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Davis, Richard A.
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Mathematics and Statistics (Springer-11649)
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