Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/11672
Title: Developing econometrics
Authors: Tong, Hengqing 
Huang, Yangxin 
Krishna Kumar, Telikicherla 
Keywords: Econometrics;Computer algorithms;Data mining;Econometric practice;Data Analysis and Statistical Computing;DASC
Issue Date: 2011
Publisher: John Wiley and Sons
Abstract: 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.
URI: https://repository.iimb.ac.in/handle/2074/11672
ISBN: 9780470681770
9781119954231
DOI: 10.1002/9781119954231
Appears in Collections:2010-2019

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