9781009446358 - the κ-statistics approach to income distribution analysis di clementi (20 risultati)
-statistics Approach to Income Distribution Analysis
Clementi, Fabio; Gallegati, Mauro; Gianmoena, Lisa; Kaniadakis, Giorgio; Landini, Simone
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The ?-Statistics Approach to Income Distribution Analysis
Fabio Clementi, Mauro Gallegati, Lisa Gianmoena, Giorgio Kaniadakis, Simone Landini
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Paperback. Condizione: New. This Element presents the ?-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, assesses its empirical validity and compares its effectiv…eness with other parametric models. It also presents formulas for calculating inequality indices within the ?-generalized framework, including the widely used Gini coefficient and the relatively lesser-known Zanardi index of Lorenz curve asymmetry. Through empirical illustrations, the Element criticizes the conventional application of the Gini index, pointing out its inadequacy in capturing the full spectrum of inequality characteristics. Instead, it advocates the adoption of the Zanardi index, accentuating its ability to capture the inherent heterogeneity and asymmetry in income distributions.
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Paperback or Softback. Condizione: New. The ?-Statistics Approach to Income Distribution Analysis. Book.
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-statistics Approach to Income Distribution Analysis
Clementi, Fabio; Gallegati, Mauro; Gianmoena, Lisa; Kaniadakis, Giorgio; Landini, Simone
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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The κ-Statistics Approach to Income Distribution Analysis
Fabio Clementi , Mauro Gallegati , Lisa Gianmoena , Giorgio Kaniadakis , Simone Landini
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The ?-Statistics Approach to Income Distribution Analysis (Elements in Econophysics)
Clementi, Fabio Fabio Clementi, Mauro Gallegati, Lisa Gianmoena, Giorgio Kaniadakis, Simone Landini,
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paperback. Condizione: New.
-statistics Approach to Income Distribution Analysis
Clementi, Fabio; Gallegati, Mauro; Gianmoena, Lisa; Kaniadakis, Giorgio; Landini, Simone
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The κ-Statistics Approach to Income Distribution Analysis
Fabio Clementi , Mauro Gallegati , Lisa Gianmoena , Giorgio Kaniadakis , Simone Landini
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 75 pages. 6.00x0.15x9.00 inches. In Stock.
-statistics Approach to Income Distribution Analysis
Clementi, Fabio; Gallegati, Mauro; Gianmoena, Lisa; Kaniadakis, Giorgio; Landini, Simone
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This Element presents the -generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, ass…esses its empirical validity and compares its effectiveness with other parametric models.
The ?-Statistics Approach to Income Distribution Analysis
Fabio Clementi, Mauro Gallegati, Lisa Gianmoena, Giorgio Kaniadakis, Simone Landini
- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Paperback. Condizione: New. This Element presents the ?-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, assesses its empirical validity and compares its effectiv…eness with other parametric models. It also presents formulas for calculating inequality indices within the ?-generalized framework, including the widely used Gini coefficient and the relatively lesser-known Zanardi index of Lorenz curve asymmetry. Through empirical illustrations, the Element criticizes the conventional application of the Gini index, pointing out its inadequacy in capturing the full spectrum of inequality characteristics. Instead, it advocates the adoption of the Zanardi index, accentuating its ability to capture the inherent heterogeneity and asymmetry in income distributions.
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Paperback. Condizione: new. Paperback. This Element presents the k-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, assesses its empirical validity and compares i…ts effectiveness with other parametric models. It also presents formulas for calculating inequality indices within the k-generalized framework, including the widely used Gini coefficient and the relatively lesser-known Zanardi index of Lorenz curve asymmetry. Through empirical illustrations, the Element criticizes the conventional application of the Gini index, pointing out its inadequacy in capturing the full spectrum of inequality characteristics. Instead, it advocates the adoption of the Zanardi index, accentuating its ability to capture the inherent heterogeneity and asymmetry in income distributions. This Element presents the k-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, assesses its empirical validity and compares its effectiveness with other parametric models. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condizione: new. Paperback. This Element presents the k-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, assesses its empirical validity and compares i…ts effectiveness with other parametric models. It also presents formulas for calculating inequality indices within the k-generalized framework, including the widely used Gini coefficient and the relatively lesser-known Zanardi index of Lorenz curve asymmetry. Through empirical illustrations, the Element criticizes the conventional application of the Gini index, pointing out its inadequacy in capturing the full spectrum of inequality characteristics. Instead, it advocates the adoption of the Zanardi index, accentuating its ability to capture the inherent heterogeneity and asymmetry in income distributions. This Element presents the k-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, assesses its empirical validity and compares its effectiveness with other parametric models. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Condizione: new. Paperback. This Element presents the k-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, assesses its empirical validity and compares i…ts effectiveness with other parametric models. It also presents formulas for calculating inequality indices within the k-generalized framework, including the widely used Gini coefficient and the relatively lesser-known Zanardi index of Lorenz curve asymmetry. Through empirical illustrations, the Element criticizes the conventional application of the Gini index, pointing out its inadequacy in capturing the full spectrum of inequality characteristics. Instead, it advocates the adoption of the Zanardi index, accentuating its ability to capture the inherent heterogeneity and asymmetry in income distributions. This Element presents the k-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, assesses its empirical validity and compares its effectiveness with other parametric models. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Taschenbuch. Condizione: Neu. The ¿-Statistics Approach to Income Distribution Analysis | Fabio Clementi (u. a.) | Taschenbuch | Englisch | 2025 | Cambridge University Press | EAN 9781009446358 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Dem…and.
