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Time series analysis : univariate and multivariate methods /

With its broad coverage of methodology, this comprehensive book is a useful learning and reference tool for those in applied sciences where analysis and research of time series is useful. Its plentiful examples show the operational details and purpose of a variety of univariate and multivariate time...

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Detalles Bibliográficos
Clasificación:QA280 W4.487 2006
Autor principal: Wei, William W. S. (autor)
Formato: Libro
Idioma:Inglés
Publicado: Boston : Pearson Addison Wesley, 2006.
Edición:Segunda edición.
Temas:

MARC

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100 1 |a Wei, William W. S.,  |e autor 
245 1 0 |a Time series analysis :  |b univariate and multivariate methods /  |c WilliamW.S. Wei. 
250 |a Segunda edición. 
264 1 |a Boston :  |b Pearson Addison Wesley,  |c 2006. 
300 |a xxii, 614 páginas :  |b ilustraciones ;  |c 24 cm. 
336 |a texto  |b txt  |2 rdacontent 
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338 |a volumen  |b nc  |2 rdacarrier 
504 |a Incluye referencias bibliográficas e índice (páginas 553-564). 
520 1 |a With its broad coverage of methodology, this comprehensive book is a useful learning and reference tool for those in applied sciences where analysis and research of time series is useful. Its plentiful examples show the operational details and purpose of a variety of univariate and multivariate time series methods. Numerous figures, tables and real-life time series data sets illustrate the models and methods useful for analyzing, modeling, and forecasting data collected sequentially in time. The text also offers a balanced treatment between theory and applications. Overview. Fundamental Concepts. Stationary Time Series Models. Nonstationary Time Series Models. Forecasting. Model Identification. Parameter Estimation, Diagnostic Checking, and Model Selection. Seasonal Time Series Models. Testing for a Unit Root. Intervention Analysis and Outlier Detection. Fourier Analysis. Spectral Theory of Stationary Processes. Estimation of the Spectrum. Transfer Function Models. Time Series Regression and GARCH Models. Vector Time Series Models. More on Vector Time Series. State Space Models and the Kalman Filter. Long Memory and Nonlinear Processes. Aggregation and Systematic Sampling in Time Series. For all readers interested in time series analysis. 
538 |a Comunidad, CSH, Presupuesto Biblioteca 156.02.01.92, ICL20080066, IBI20080143, Sistemas Biblioinforma, Fac. No. 22435, $836.00, W257016 
650 0 |a Time-series analysis 
650 4 |a Análisis de series de tiempo 
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949 |a Biblioteca UAM Iztapalapa  |b Colección General  |c QA280 W4.487 2006