Normality Test: Data Set, Normal Distribution, Random Variable, Model Selection, Interpretations of Probability - Couverture souple

 
9786130496333: Normality Test: Data Set, Normal Distribution, Random Variable, Model Selection, Interpretations of Probability
Couverture souple
ISBN 10 : 6130496338 ISBN 13 : 9786130496333
Editeur : Betascript Publishing, 2010

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, normality tests are used to determine whether a data set is well-modeled by a normal distribution or not, or to compute how likely an underlying random variable is to be normally distributed. More precisely, they are a form of model selection, and can be interpreted several ways, depending on one''s interpretations of probability: * In descriptive statistics terms, one measures a goodness of fit of a normal model to the data – if the fit is poor then the data is not well modeled in that respect by a normal distribution, without making a judgment on any underlying variable. * In frequentist statistics statistical hypothesis testing, one tests the data against the null hypothesis that it is normally distributed.

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Éditeur
Betascript Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
6130496338
ISBN 13 
9786130496333
Reliure
Broché
Nombre de pages
112
Éditeur
Surhone Lambert M., Timpledon Miriam T., Marseken Susan F.
Coordonnées du fabricant
non disponible
Personne responsable
non disponible