A Normal Distribution Course

Jürgen Groß (Autor)

Buch | Softcover

2004
Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften
978-3-631-52934-8 (ISBN)

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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.

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.

lt;i>Contents: Data Analysis - The Normal Distribution - Checking for Normality - Testing for Normality - Variants of the Normal Distribution - Transformations to Normality - Two Normal Variables - Transformations of Normal Variables.

Erscheint lt. Verlag	1.9.2004
Verlagsort	Berlin
Sprache	englisch
Maße	148 x 210 mm
Gewicht	310 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Wirtschaft ► Betriebswirtschaft / Management ► Allgemeines / Lexika
Schlagworte	Course • Data Analysis • Distribution • Fit of Distribution • Groß • Jürgen • Normal • Normal distribution • Normalverteilung • Random Variable • Statistical Inference
ISBN-10	3-631-52934-1 / 3631529341
ISBN-13	978-3-631-52934-8 / 9783631529348
Zustand	Neuware