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Reliable Inference for the Gini Index
 Journal of Econometrics
, 2009
"... Although attention has been given to obtaining reliable standard errors for the plugin estimator of the Gini index, all standard errors suggested until now are either complicated or quite unreliable. An approximation is derived for the estimator by which it is expressed as a sum of IID random variab ..."
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Cited by 14 (2 self)
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Although attention has been given to obtaining reliable standard errors for the plugin estimator of the Gini index, all standard errors suggested until now are either complicated or quite unreliable. An approximation is derived for the estimator by which it is expressed as a sum of IID random
Insurance Ratemaking and a Gini Index
, 2012
"... Abstract. In 1905, Max Otto Lorenz displayed skewed income distributions using a graph now known as the Lorenz curve. In 1912, Corrado Gini summarized this curve with a statistic now known as the Gini index. Both devices are widely used in welfare economics, among other fields. This paper extends th ..."
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Abstract. In 1905, Max Otto Lorenz displayed skewed income distributions using a graph now known as the Lorenz curve. In 1912, Corrado Gini summarized this curve with a statistic now known as the Gini index. Both devices are widely used in welfare economics, among other fields. This paper extends
NOTE ON THON'S AXIOMATIZATION OF THE GINI INDEX
, 1985
"... We give a short proof of Thon's characterization of the Gini index. Key words: Income inequality; Ginl index. In a past issue of this journal, Thon (1982) has provided an interesting axiomatization of the Gini index. First, we give a simple proof of this main result with a slight strengthening ..."
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We give a short proof of Thon's characterization of the Gini index. Key words: Income inequality; Ginl index. In a past issue of this journal, Thon (1982) has provided an interesting axiomatization of the Gini index. First, we give a simple proof of this main result with a slight strengthening
Using GiniIndex for Feature Selection in Text Categorization
"... Abstract With the rapid development of World Wide Web, text categorization has played an important role in organizing and processing large amount of text data. The first and major problem of text categorization is how to select the best subset from the original high feature space in order to reduce ..."
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to reduce the high dimensionality of the original feature space and improve the classification performance. We aim to use improved Giniindex for text feature selection, constructing the measure function based on GiniIndex. We compare it to other four feature selection measures using two kinds
AN IMPROVED TEXT CLASSIFICATION METHOD BASED ON GINI INDEX
"... In text classification, the purity of the Gini index can be used. When purity value is greater, the characteristic of the information contained in the attribute is higher, and the feature distinguishing capability is stronger. But using the Gini purity formula on feature weight, the classification r ..."
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In text classification, the purity of the Gini index can be used. When purity value is greater, the characteristic of the information contained in the attribute is higher, and the feature distinguishing capability is stronger. But using the Gini purity formula on feature weight, the classification
Evaluation of the Giniindex for Studying Branch Prediction Features
"... Abstract. Predicting future outcomes based on past observational data is a common application in data mining. While the primary goal is usually to achieve the highest possible prediction accuracy, the interpretation of the resulting prediction model is important to understand its shortcomings for fu ..."
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. The quality of a prediction model is highly dependent on the quality of the available data. Especially the choice of the related variables or features to base the prediction on is important. In this paper we evaluate the predictive power of different branch prediction features using the metric Giniindex
Using Giniindex for Feature Weighting in Text Categorization
"... With the rapid development of World Wide Web, text categorization has played an important role in organizing and processing large amount of text data. As a simple, straightforward, high processing speed feature weighting method, TF·IDF method is widely used in document classification. But this metho ..."
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. But this method simply considers the words of low frequency are important, the words of high frequency are unimportant, which may not reflect the usefulness of the words, and decreases the precision of classification. In this paper, a Giniindex based feature weighting method is presented, which solves
November 2007Reliable Inference for the Gini Index by
, 2009
"... Although attention has been given to obtaining reliable standard errors for the plugin estimator of the Gini index, all standard errors suggested until now are either complicated or quite unreliable. An approximation is derived for the estimator by which it is expressed as a sum of IID random variab ..."
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Although attention has been given to obtaining reliable standard errors for the plugin estimator of the Gini index, all standard errors suggested until now are either complicated or quite unreliable. An approximation is derived for the estimator by which it is expressed as a sum of IID random
October 2009Reliable Inference for the Gini Index by
, 2009
"... Although attention has been given to obtaining reliable standard errors for the plugin estimator of the Gini index, all standard errors suggested until now are either complicated or quite unreliable. An approximation is derived for the estimator by which it is expressed as a sum of IID random variab ..."
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Although attention has been given to obtaining reliable standard errors for the plugin estimator of the Gini index, all standard errors suggested until now are either complicated or quite unreliable. An approximation is derived for the estimator by which it is expressed as a sum of IID random
Statistical Tests Based on Gini Index and Gini Mean Difference
, 2005
"... Our paper will be devoted to tests of hypotheses based on the Gini index or Gini mean difference. Being a counterpart of a coefficient of variation (σ/µ), Gini index can be used as a statistic in nonparametric tests such as goodness of fit test (Jammalamadaka and Goria, 2004), two sample test (Niew ..."
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Our paper will be devoted to tests of hypotheses based on the Gini index or Gini mean difference. Being a counterpart of a coefficient of variation (σ/µ), Gini index can be used as a statistic in nonparametric tests such as goodness of fit test (Jammalamadaka and Goria, 2004), two sample test
Results 1  10
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