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Introduction to Modern Time Series Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Gebhard Kirchgässner 作者

Springer

译者

2008-10-10 出版日期

274 页数

USD 59.95 价格

Paperback

丛书系列

9783540687351 图书编码

Introduction to Modern Time Series Analysis 在线电子书图书标签: 过程控制 statistics

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Introduction to Modern Time Series Analysis 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Introduction to Modern Time Series Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Introduction to Modern Time Series Analysis 在线电子书图书描述

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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