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The Gini Methodology - A Primer on a Statistical Methodology (Hardcover, 2013 ed.)
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The Gini Methodology - A Primer on a Statistical Methodology (Hardcover, 2013 ed.)
Series: Springer Series in Statistics, 272
Expected to ship within 10 - 15 working days
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Gini's mean difference (GMD) was first introduced by Corrado Gini
in 1912 as an alternative measure of variability. GMD and the
parameters which are derived from it (such as the Gini coefficient
or the concentration ratio) have been in use in the area of income
distribution for almost a century. In practice, the use of GMD as a
measure of variability is justified whenever the investigator is
not ready to impose, without questioning, the convenient world of
normality. This makes the GMD of critical importance in the complex
research of statisticians, economists, econometricians, and policy
makers. This book focuses on imitating analyses that are based on
variance by replacing variance with the GMD and its variants. In
this way, the text showcases how almost everything that can be done
with the variance as a measure of variability, can be replicated by
using Gini. Beyond this, there are marked benefits to utilizing
Gini as opposed to other methods. One of the advantages of using
Gini methodology is that it provides a unified system that enables
the user to learn about various aspects of the underlying
distribution. It also provides a systematic method and a unified
terminology. Using Gini methodology can reduce the risk of imposing
assumptions that are not supported by the data on the model. With
these benefits in mind the text uses the covariance-based approach,
though applications to other approaches are mentioned as well.
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