9781009446358 - the κ-statistics approach to income distribution analysis (elements in econophysics) de clementi (20 resultados)

-statistics Approach to Income Distribution Analysis
Clementi, Fabio; Gallegati, Mauro; Gianmoena, Lisa; Kaniadakis, Giorgio; Landini, Simone
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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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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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 27,25
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Paperback. Condición: 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 effective…ness 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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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de AmericaBargainBookStores
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Paperback or Softback. Condición: New. The ?-Statistics Approach to Income Distribution Analysis. Book.

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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-statistics Approach to Income Distribution Analysis
Clementi, Fabio; Gallegati, Mauro; Gianmoena, Lisa; Kaniadakis, Giorgio; Landini, Simone
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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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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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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paperback. Condición: New.

-statistics Approach to Income Distribution Analysis
Clementi, Fabio; Gallegati, Mauro; Gianmoena, Lisa; Kaniadakis, Giorgio; Landini, Simone
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 23,77
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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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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: 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
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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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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- Edición internacional
Librería: UK BOOKS STORE, London, LONDO, Reino UnidoUK BOOKS STORE
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Paperback. Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requ…ested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

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Paperback. Condición: 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 it…s 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: 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, asse…sses 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
- Tapa blanda
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 24,22
Envío por EUR 75,34Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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 effective…ness 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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EUR 31,26
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Paperback. Condición: 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 it…s 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.

The κ-Statistics Approach to Income Distribution Analysis
Fabio Clementi , Mauro Gallegati , Lisa Gianmoena , Giorgio Kaniadakis , Simone Landini
- Tapa blanda
- Impresión bajo demanda
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 19,70
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Paperback. Condición: Brand New. 75 pages. 6.00x0.15x9.00 inches. In Stock. This item is printed on demand.

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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 42,78
Envío por EUR 32,50Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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 it…s 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.