The present Special Issue is intended to cover statistical approaches based either on continuous or discrete latent variable models, with a particular focus on approaches combining the use of both types of latent variable within the same model. The aim is to give a (partial) picture of recent developments about these models and their applications in the social and economic sciences.

Editorial: Special issue on models for continuous data with a spike at zero / Böhning, Dankmar; Alfo', Marco. - In: BIOMETRICAL JOURNAL. - ISSN 0323-3847. - STAMPA. - 58:2(2016), pp. 255-258. [10.1002/bimj.201500188]

Editorial: Special issue on models for continuous data with a spike at zero

ALFO', Marco
2016

Abstract

The present Special Issue is intended to cover statistical approaches based either on continuous or discrete latent variable models, with a particular focus on approaches combining the use of both types of latent variable within the same model. The aim is to give a (partial) picture of recent developments about these models and their applications in the social and economic sciences.
2016
biometry; models, statistical; statistics and probability; medicine (all); statistics, probability and uncertainty
01 Pubblicazione su rivista::01b Commento, Erratum, Replica e simili
Editorial: Special issue on models for continuous data with a spike at zero / Böhning, Dankmar; Alfo', Marco. - In: BIOMETRICAL JOURNAL. - ISSN 0323-3847. - STAMPA. - 58:2(2016), pp. 255-258. [10.1002/bimj.201500188]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/928805
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