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Time series analysis / George E. P. Box, Gwilym M. Jenkins

By: Box, George E. P [autor]Contributor(s): Jenkins, Gwilym M [autor]Publisher: Estados Unidos : Holden-Day, ©1976Description: xxi., 575 páginas : ilustraciones, tablas ; 24 cmContent type: texto Media type: no mediado Carrier type: volumenISBN: 0816211043Subject(s): Analisis de series de tiempo | Modelos Lineales (Estadistica) | Modelos matemáticos | Predicciones | Procesos Estacionarios | Procesos Estocasticos | Sistemas de Control Por Retroalimentacion | Teoria de la estimacionDDC classification: 629.8312
Contents:
Introduction and summary. -- Stochastic models and their forecasting. -- The autocorrelation function and spectrum. -- Linear stationary models. -- Linear nonstationary models. -- Forecasting. -- Model identification. -- Model estimation. -- Model diagnostic checking. -- Seasonal models. -- Transfer function models. -- Identification, fitting, and checking of transfer function models. -- Desing of feedforward and freedback control schemes. -- Some further problems in control.
Summary: Much of statistical methodology is concerned with models in which the observations are assumed to vary independently. In many applications dependence between the observations is regarded as a nuisance, and in planned experiments, Randomization is regarded as a nuisance, and in planned experiments.
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Item type Current location Collection Call number Vol info Copy number Status Date due Barcode Item holds
Book Book B. Campus los Cerros
Colección general
Colección general 629.8312 B788 (Browse shelf) 1976 1 Available 0000041702
Total holds: 0

Include contents

Introduction and summary. -- Stochastic models and their forecasting. -- The autocorrelation function and spectrum. -- Linear stationary models. -- Linear nonstationary models. -- Forecasting. -- Model identification. -- Model estimation. -- Model diagnostic checking. -- Seasonal models. -- Transfer function models. -- Identification, fitting, and checking of transfer function models. -- Desing of feedforward and freedback control schemes. -- Some further problems in control.

Much of statistical methodology is concerned with models in which the observations are assumed to vary independently. In many applications dependence between the observations is regarded as a nuisance, and in planned experiments, Randomization is regarded as a nuisance, and in planned experiments.

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