A generalized framework for modelling ordinal data

In several applied disciplines, as Economics, Marketing, Business, Sociology, Psychology, Political science, Environmental research and Medicine, it is common to collect data in the form of ordered categorical observations. In this paper, we introduce a class of models based on mixtures of discrete...

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Vydané v:	Statistical methods & applications Ročník 25; číslo 2; s. 163 - 189
Hlavní autori:	Iannario, Maria, Piccolo, Domenico
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2016 Springer Nature B.V
Predmet:	Applied mathematics Asymptotic methods Asymptotic properties Business Case studies Chemistry and Earth Sciences Computer Science Computer simulation Consistency Data analysis Economics Experiments Finance Generalized linear models Health Sciences Humanities Insurance Law Management Mathematics and Statistics Maximum likelihood method Medicine Physics Polls & surveys Preferences Probability Random variables Shelters Simulation Sociology Statistical analysis Statistical Theory and Methods Statistics Statistics for Business Statistics for Engineering Statistics for Life Sciences Statistics for Social Sciences models choices Rating survey Ordinal data
ISSN:	1618-2510, 1613-981X
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