Often data sets contain categorical data, e.g., levels of factors or names. There does not exist any ordering or any distance between these categories. At each level there are measured some metric or categorical values. We introduce a new method of scaling based on statistical decisions. For this we define empirical probabilities for the original observations and find a class of distributions in a metric space where these empirical probabilities can be found as approximations for equivalently defined probabilities.
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Often data sets contain categorical data, e.g., levels of factors or names. There does not exist any ordering or any distance between these categories. At each level there are measured some metric or categorical values. We introduce a new method of scaling based on statistical decisions. For this we define empirical probabilities for the original observations and find a class of distributions in a metric space where these empirical probabilities can be found as approximations for equivalently defined probabilities.
Ayad M. Ramadan was born in Kirkuk-Iraq 1972, obtained his Bsc. in Mathematics at the University of Mosul 1995, and the Msc. in Operations research at Al-Mustansiriyah University-Baghdad 1998. The PhD. at Potsdam University-Germany 2010. Research interesting: Operations Research, Optimization Theory, Statistics.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Often data sets contain categorical data, e.g., levels of factors or names. There does not exist any ordering or any distance between these categories. At each level there are measured some metric or categorical values. We introduce a new method of scaling based on statistical decisions. For this we define empirical probabilities for the original observations and find a class of distributions in a metric space where these empirical probabilities can be found as approximations for equivalently defined probabilities. 116 pp. Englisch. N° de réf. du vendeur 9783639712322
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ramadan Ayad M.Ayad M. Ramadan was born in Kirkuk-Iraq 1972, obtained his Bsc. in Mathematics at the University of Mosul 1995, and the Msc. in Operations research at Al-Mustansiriyah University-Baghdad 1998. The PhD. at Potsdam Unive. N° de réf. du vendeur 4999407
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Often data sets contain categorical data, e.g., levels of factors or names. There does not exist any ordering or any distance between these categories. At each level there are measured some metric or categorical values. We introduce a new method of scaling based on statistical decisions. For this we define empirical probabilities for the original observations and find a class of distributions in a metric space where these empirical probabilities can be found as approximations for equivalently defined probabilities.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. N° de réf. du vendeur 9783639712322
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Taschenbuch. Etat : Neu. Statistical Model for Categorical Data | Multidimensional Scaling Method for Categorical Data | Ayad M. Ramadan (u. a.) | Taschenbuch | 116 S. | Englisch | 2014 | Scholars' Press | EAN 9783639712322 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 105355278
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