Aisberg: dal 2009 è l'archivio ad accesso aperto dell'Università di Bergamo; dal 2011 è anche l'anagrafe della ricerca di Ateneo.
L'archivio è un'implementazione di IRIS, il sistema informativo per la ricerca sviluppato da Cineca.
EnglishInvestigating stochastic dominance within flexible multi-parametric families of distributions is often complicated, owing to the high number of parameters or non-closed functional forms. To simplify the problem, we use the T–X method, making it possible to obtain generalised models through the composition of cumulative distributions and quantile functions.We derive conditions for the second-order stochastic dominance and for the increasing convex order within multi-parametric families in two steps, namely: (i) breaking them down via the T–X approach and (ii) checking dominance conditions of the (more) manageable distributions composing the model. We apply our method to some special distributions and focus on the beta-generated family, which enables the comparisons of order statistics of i.i.d. samples from (possibly) different random variables.
(2020). Stochastic dominance relations for generalised parametric distributions obtained through composition [journal article - articolo]. In METRON. Retrieved from http://hdl.handle.net/10446/164258
| Titolo: | Stochastic dominance relations for generalised parametric distributions obtained through composition |
| Tipologia specifica: | articolo |
| Tutti gli autori: | Lando, Tommaso; Bertoli-Barsotti, Lucio |
| Data di pubblicazione: | 2020-08-27 |
| Abstract (eng): | Investigating stochastic dominance within flexible multi-parametric families of distributions is often complicated, owing to the high number of parameters or non-closed functional forms. To simplify the problem, we use the T–X method, making it possible to obtain generalised models through the composition of cumulative distributions and quantile functions.We derive conditions for the second-order stochastic dominance and for the increasing convex order within multi-parametric families in two steps, namely: (i) breaking them down via the T–X approach and (ii) checking dominance conditions of the (more) manageable distributions composing the model. We apply our method to some special distributions and focus on the beta-generated family, which enables the comparisons of order statistics of i.i.d. samples from (possibly) different random variables. |
| Rivista: | |
| Nelle collezioni: | 1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays |
File allegato/i alla scheda:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Lando_et_al-2020-METRON.pdf | publisher's version - versione editoriale |  | Open AccessVisualizza/Apri |
Copyright © 2020