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Introduction to Modern Time Series Analysis [推广有奖]

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hustleimin 在职认证  发表于 2009-8-27 22:00:06 |AI写论文

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Publisher: Springer
Language: English
ISBN: 354073290X
Paperback: 274 pages Introduction_to_Modern_Time_Series_Analysis.rar (1.58 MB, 需要: 2 个论坛币) 本附件包括:
  • Introduction to Modern Time Series Analysis.pdf

Data: Oct 2007
Format: PDF
Description: This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series. It attempts to bridge the gap between methods and realistic applications. This book contains the most important approaches to analyse time series which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series Granger causality tests and vector autoregressive models are presented. For real applied work the modelling of nonstationary uni- or multivariate time series is most important. Therefore, unit root and cointegration analysis as well as vector error correction models play a central part. Modelling volatilities of financial time series with autoregressive conditional heteroskedastic models is also treated.
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关键词:introduction Time Series troduction Analysis Analysi Analysis time Series introduction Modern

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zhdefei(未真实交易用户) 在职认证  发表于 2009-8-27 22:13:54
一本好书,值得一睹
努力就会有结果,要成功就得努力!!!

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