Developing Econometrics

Business & Finance, Economics, Econometrics
Cover of the book Developing Econometrics by Hengqing Tong, T. Krishna Kumar, Yangxin Huang, Wiley
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Author: Hengqing Tong, T. Krishna Kumar, Yangxin Huang ISBN: 9781119960904
Publisher: Wiley Publication: November 28, 2011
Imprint: Wiley Language: English
Author: Hengqing Tong, T. Krishna Kumar, Yangxin Huang
ISBN: 9781119960904
Publisher: Wiley
Publication: November 28, 2011
Imprint: Wiley
Language: English

Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation.

  • Provides a detailed description of computer algorithms.
  • Provides recently developed computational tools useful for data mining
  • Highlights recent advances in statistical theory and methods that benefit econometric practice.
  • Features examples with real life data.
  • Accompanying software featuring DASC (Data Analysis and Statistical Computing).

Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate students and researchers in economics and statistics.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation.

Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate students and researchers in economics and statistics.

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