Time Series: Theory and Methods: Springer Series in Statistics
Autor Peter J. Brockwell, Richard a. Davisen Limba Engleză Hardback – 22 feb 1991
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| Paperback (1) | 864.16 lei 6-8 săpt. | |
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| Springer – 22 feb 1991 | 870.06 lei 6-8 săpt. |
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Specificații
ISBN-13: 9780387974293
ISBN-10: 0387974296
Pagini: 580
Ilustrații: XVI, 580 p.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 1.01 kg
Ediția:2nd ed.
Editura: Springer
Colecția Springer
Seria Springer Series in Statistics
Locul publicării:New York, NY, United States
ISBN-10: 0387974296
Pagini: 580
Ilustrații: XVI, 580 p.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 1.01 kg
Ediția:2nd ed.
Editura: Springer
Colecția Springer
Seria Springer Series in Statistics
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1 Stationary Time Series.- 2 Hilbert Spaces.- 3 Stationary ARMA Processes.- 4 The Spectral Representation of a Stationary Process.- 5 Prediction of Stationary Processes.- 6* Asymptotic Theory.- 7 Estimation of the Mean and the Autocovariance Function.- 8 Estimation for ARMA Models.- 9 Model Building and Forecasting with ARIMA Processes.- 10 Inference for the Spectrum of a Stationary Process.- 11 Multivariate Time Series.- 12 State-Space Models and the Kalman Recursions.- 13 Further Topics.- Appendix: Data Sets.
Textul de pe ultima copertă
This paperback edition is a reprint of the 1991 edition.
Time Series: Theory and Methods is a systematic account of linear time series models and their application to the modeling 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 the 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 is 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 nonlinear models.
Most of the programs used in the book are available in the modeling package ITSM2000, the student version of which can be downloaded from http://www.stat.colostate.edu/~pjbrock/student06.
Time Series: Theory and Methods is a systematic account of linear time series models and their application to the modeling 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 the 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 is 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 nonlinear models.
Most of the programs used in the book are available in the modeling package ITSM2000, the student version of which can be downloaded from http://www.stat.colostate.edu/~pjbrock/student06.
Caracteristici
Includes supplementary material: sn.pub/extras