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Livro Digital

A Course in Time Series Analysis (Cód: 9333040)

Tsay, Ruey S.; Tiao, George C.; PEÑA, DANIEL

Wiley (Digital)

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A Course in Time Series Analysis

R$302,79

Descrição

New statistical methods and future directions of research in time series

A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic methods for building ARIMA models, and signal extraction. They then move on to advanced topics, focusing on heteroscedastic models, nonlinear time series models, Bayesian time series analysis, nonparametric time series analysis, and neural networks. Multivariate time series coverage includes presentations on vector ARMA models, cointegration, and multivariate linear systems. Special features include:

Contributions from eleven of the worldâ??s leading figures in time series
Shared balance between theory and application
Exercise series sets
Many real data examples
Consistent style and clear, common notation in all contributions
60 helpful graphs and tables

Requiring no previous knowledge of the subject, A Course in Time Series Analysis is an important reference and a highly useful resource for researchers and practitioners in statistics, economics, business, engineering, and environmental analysis.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.

Características

Produto sob encomenda Sim
Marca Wiley (Digital)
Cód. Barras 9781118031223
Início da Venda 05/03/2016
Coleção / Série Wiley Series in Probability and Statistics
Territorialidade Internacional
Formato Livro Digital Pdf
Gratuito Não
Proteção Drm Sim
Número da edição 1
Código do Formato Pdf
Ano da Publicação 111
VOLUME 322
Peso 0.00 Kg
AutorTsay, Ruey S.; Tiao, George C.; PEÑA, DANIEL

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