Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs / Springer Series in Statistics (PDF)
This book explains how to analyze independent data from factorial designs without having to make restrictive assumptions, such as normality of the data, or equal variances. The general approach also allows for ordinal and even dichotomous data....
64 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
This book explains how to analyze independent data from factorial designs without having to make restrictive assumptions, such as normality of the data, or equal variances. The general approach also allows for ordinal and even dichotomous data. The underlying effect size is the nonparametric relative effect, which has a simple and intuitive probability interpretation. The data analysis is presented as comprehensively as possible, including appropriate descriptive statistics which follow a nonparametric paradigm, as well as corresponding inferential methods using hypothesis tests and confidence intervals based on pseudo-ranks.
Offering clear explanations, an overview of the modern rank- and pseudo-rank-based inference methodology and numerous illustrations with real data examples, as well as the necessary R/SAS code to run the statistical analyses, this book is a valuable resource for statisticians and practitioners alike.
Arne C. Bathke is a Professor of Statistics at the Department of Mathematics of the University of Salzburg, Austria. Previously, he was Director of Graduate Studies at the Department of Statistics and Director of the Applied Statistics Laboratory at the University of Kentucky, USA. Prof. Bathke has taught courses and given invited lectures on five continents. His methodological research is mainly in the areas of nonparametric statistics and multivariate inference. Furthermore, he has collaborated with subject matter scientists from a wide range of fields. He has received university-wide teaching awards from the University of Kentucky: the Provost's Award for outstanding teaching (2007) and the Alumni Association Great Teacher Award (2012). He was also named "Henry Clay Ambassador" by the Mayor of Lexington (KY) for his civil engagement, and he was commissioned "Kentucky Admiral" by the Secretary of the Kentucky Energy and Environment Cabinet. He is a member of the board of the
Frank Konietschke studied mathematics at the Georg August University of Göttingen, Germany. Since obtaining his Ph.D., he has been working as a postdoctoral researcher at the Department of Medical Statistics at the University of Göttingen, and as Assistant Professor at the University of Texas / Dallas. He has taught courses and given invited lectures across North America and Europe, as well as in Ethiopia and China. His methodological research is mainly in the areas of nonparametric and bootstrap / resampling strategies and inferences. He received the Hoeffding Award from the American Statistical Association in 2009, the "GMDS-Förderpreis" from the German Society for Medical Informatics, Biometry and Epidemiology (GMDS) in 2010 and the Gustav Adolf Lienert Award from the German region board of the International Biometric Society in 2012.
- Autoren: Edgar Brunner , Arne C. Bathke , Frank Konietschke
- 2019, 1st ed. 2018, 521 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 303002914X
- ISBN-13: 9783030029142
- Erscheinungsdatum: 15.07.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 11 MB
- Ohne Kopierschutz
- Vorlesefunktion
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs / Springer Series in Statistics".
Kommentar verfassen