Developing Econometrics (eBook)

Hengqing Tong, T. Krishna Kumar, Yangxin Huang (Autoren)

eBook Download: PDF

2011
488 Seiten
John Wiley & Sons (Verlag)
978-1-119-95424-8 (ISBN)

Infos

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.

Autor

Hengqing Tong, Department of Mathematics, Wuhan University of Technology, P.R.China T. Krishna Kumar, Indian Institute of Management, Samkhya Analytica India Private Limited, Bangalore, India Yangxin Huang, Department of Epidemiology and Biostatistics, University of South Florida, USA

Produkt-Details

• Erscheint lt. Verlag: 13.10.2011
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie
• Schlagworte: Ökonometrie • Ökonometrie u. statistische Methoden • Econometric & Statistical Methods • Econometrics • Economics • Ökonometrie • Ökonometrie u. statistische Methoden • Statistics • Statistik • Volkswirtschaftslehre
• ISBN-10: 1-119-95424-X / 111995424X
• ISBN-13: 978-1-119-95424-8 / 9781119954248