An introduction to nonparametric statistics / John Kolassa.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
"A Chapman & Hall book."
"This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank based methods and more computationally-intensive topics like density estimation, kernel smoothers in regression, and robustness. The text is aimed at MS students"-- Provided by publisher.
BackgroundOne-Sample Nonparametric InferenceTwo-Sample TestingMethods for Three or More GroupsGroup Differences with BlockingBivariate MethodsMultivariate AnalysisDensity EstimationRegression Function EstimatesResampling TechniquesAppendices
OCLC-licensed vendor bibliographic record.