time-series
Forecasting 豆瓣
作者: Spyros G. Makridakis / Steven C. Wheelwright John Wiley & Sons 1997
Can You Predict the Future by Looking at the Past? Since accurate forecasting requires more than just inserting historical data into a model, Forecasting: Methods and Applications, 3/e, adopts a managerial, business orientation. Integrated throughout this text is the innovative idea that explaining the past is not adequate for predicting the future. Inside, you will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And you'll develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts. New features in the third edition include:
* An emphasis placed on the practical uses of forecasting.
* All data sets used in this book are available on the Internet, together with supplementary material. This can be found at http://robjhyndman.com/forecasting/
* Comprehensive coverage provided on both quantitative and qualitative forecasting techniques.
* Includes many new developments in forecasting methodology and practice.
2013年10月12日 已读
Well, this is not exactly time series. This book focuses on the application part of time series in forecasting. I would recommend this for those who would not want to steep into time series, but wish to acquire a working knowledge on forecasting.
BTW, the author uses R. He is a Use-R.
econometrics economics time-series
Applied Econometric Times Series 豆瓣
作者: Walter Enders John Wiley & Sons 2009 - 11
Enders continues to provide business professionals with an accessible introduction to time-series analysis. He clearly shows them how to develop models capable of forecasting, interpreting, and testing hypotheses concerning economic data using the latest techniques. The third edition includes new discussions on parameter instability and structural breaks as well as out-of-sample forecasting methods. New developments in unit root test and cointegration tests are covered. Multivariate GARCH models are also presented. In addition, several statistical examples have been updated with real-world data to help business professionals understand the relevance of the material.
2013年12月15日 已读
如这本书标题所示,这是为了给做时间序列分析的人写的,较晓畅易懂。里面理论涵盖并不深,而且数学要求不高。读者在学习完基本的回归分析后就可以学校这本。
econometrics economics time-series