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出版者:Princeton University Press

作者:James Douglas Hamilton

出品人:

页数:820

译者:

出版时间:1994-1-31

价格:USD 130.00

装帧:Hardcover

isbn号码:9780691042893

丛书系列:

图书标签:

时间序列
econometrics
经济学
数学
计量经济学
TimeSeries
time-series
统计学
时间序列
数据分析
统计学
预测模型
数学建模
机器学习
数据科学
时间序列预测
回归分析
频域分析

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具体描述

The last decade has brought dramatic changes in the way that researchers analyze economic and financial time series. This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. "Time Series Analysis" fills an important need for a textbook that integrates economic theory, econometrics, and new results. The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.