When it comes to the measurement and observation of physical, biological, medical, economic, or social variables, the normal distribution is the most famous and widely applied law standing behind random phenomena. Often, being introduced as "the important distribution", it is applied without a sufficient awareness of its statistical background and its limitations. This book reviews properties of the normal distribution in between a probability theoretical and a data analytical point of view, and is directed towards readers with at least basic knowledge in probability and statistics. It can be used for self-study purposes, conveying statistical principles behind inference based on data analysis. Emphasis is laid on the practicability of the presented methods, being mainly confined to the analysis of a single data set. Numerous graphics and examples with real and simulated data are included to illustrate the discussed topics. Mathematical derivations of the results are omitted in general.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The Author : Jürgen Groß studied Statistics at the University of Dortmund. After receiving his diploma in 1991 and his Ph.D. in 1994, he worked as a research associate in Dortmund. In 1999 he qualified as a university lecturer for 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 -When it comes to the measurement and observation of physical, biological, medical, economic, or social variables, the normal distribution is the most famous and widely applied law standing behind random phenomena. Often, being introduced as «the important distribution», it is applied without a sufficient awareness of its statistical background and its limitations. This book reviews properties of the normal distribution in between a probability theoretical and a data analytical point of view, and is directed towards readers with at least basic knowledge in probability and statistics. It can be used for self-study purposes, conveying statistical principles behind inference based on data analysis. Emphasis is laid on the practicability of the presented methods, being mainly confined to the analysis of a single data set. Numerous graphics and examples with real and simulated data are included to illustrate the discussed topics. Mathematical derivations of the results are omitted in general. 221 pp. Englisch. N° de réf. du vendeur 9783631529348
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - When it comes to the measurement and observation of physical, biological, medical, economic, or social variables, the normal distribution is the most famous and widely applied law standing behind random phenomena. Often, being introduced as «the important distribution», it is applied without a sufficient awareness of its statistical background and its limitations. This book reviews properties of the normal distribution in between a probability theoretical and a data analytical point of view, and is directed towards readers with at least basic knowledge in probability and statistics. It can be used for self-study purposes, conveying statistical principles behind inference based on data analysis. Emphasis is laid on the practicability of the presented methods, being mainly confined to the analysis of a single data set. Numerous graphics and examples with real and simulated data are included to illustrate the discussed topics. Mathematical derivations of the results are omitted in general. N° de réf. du vendeur 9783631529348
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Taschenbuch. Etat : Neu. A Normal Distribution Course | Jürgen Groß | Taschenbuch | Kartoniert / Broschiert | Englisch | 2004 | Peter Lang | EAN 9783631529348 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu. N° de réf. du vendeur 125358760
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