Thomas P. Hettmansperger, Joseph W. McKean

eBook, PDF

Robust Nonparametric Statistical Methods (eBook, PDF)

Beschreibung

Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the first edition by developing rank-based m

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Autor

Thomas P. Hettmansperger is a professor emeritus of statistics at Penn State University. Dr. Hettmansperger is a fellow of the American Statistical Association and Institute of Mathematical Statistics and an elected member of the International Statistical Institute. His research interests span nonparametric statistics, robust methods, and mixture models.

Joseph W. McKean is a professor of statistics at Western Michigan University. His research interests include robust nonparametric procedures for linear, nonlinear, and mixed models and times series designs. A fellow of the American Statistical Association, Dr. McKean has developed highly efficient and high breakdown procedures.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 554
• Erscheinungstermin: 20. Dezember 2010
• Englisch
• ISBN-13: 9781439809099
• Artikelnr.: 57534067