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Beschreibung
Comparing Distributions refers to the statistical data analysis that encompasses the traditional goodness-of-fit testing. Whereas the latter includes only formal statistical hypothesis tests for the one-sample and the K -sample problems, this book presents a more general and informative treatment by also considering graphical and estimation methods. A procedure is said to be informative when it… provides information on the reason for rejecting the null hypothesis. Despite the historically seemingly different development of methods, this book emphasises the similarities between the methods by linking them to a common theory backbone. This book consists of two parts. In the first part statistical methods for the one-sample problem are discussed. The second part of the book treats the K -sample problem. Many sections of this second part of the book may be of interest to every statistician who is involved in comparative studies. The book gives a self-contained theoretical treatment of a wide range of goodness-of-fit methods, including graphical methods, hypothesis tests, model selection and density estimation. It relies on parametric, semiparametric and nonparametric theory, which is kept at an intermediate level; the intuition and heuristics behind the methods are usually provided as well. The book contains many data examples that are analysed with the cd R-package that is written by the author. All examples include the R-code. Because many methods described in this book belong to the basic toolbox of almost every statistician, the book should be of interest to a wide audience. In particular, the book may be useful for researchers, graduate students and PhD students who need a starting point for doing research in the area of goodness-of-fit testing. Practitioners and applied statisticians may also be interested because of the many examples, the R-code and the stress on the informative nature of the procedures. 106,99 €
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Technische Daten
Erscheinungsdatum
25.02.2012
Sprache
Englisch
EAN
9781461424499
Herausgeber
Springer US
Serien- oder Bandtitel
Springer Series in Statistics
Sonderedition
Nein
Autor
Olivier Thas
Seitenanzahl
354
Einbandart
Broschiert
Schlagwörter
data analysis, goodness-of-fit tests, graphical methods, nonparametric statistics, rank tests, semiparametic statistics, statistical method
Thema-Inhalt
PBT - Wahrscheinlichkeitsrechnung und Statistik
PBWL - Stochastik
JHB - Soziologie
UNF - Data Mining
UYQE - Wissensbasierte Systeme, Expertensysteme
KJT - Unternehmensforschung
KJMD - Management: Entscheidungstheorie
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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