August 2013
Intermediate to advanced
195 pages
5h 45m
English
Content preview from Nonparametric Methods in Statistics with SAS Applications
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Preface
This book has been written as a textbook for the second-year graduate course taught
by the author in the Master’s program in Applied Statistics at California State Uni-
versity, Long Beach. The goal of this course is to teach applications of nonparametric
methods in statistics, starting with the tests of hypotheses, and moving on to regres-
sion modeling, time-to-event analysis, density estimation and resampling methods.
Being a textbook, this book has abundant examples and exercises. The settings were
taken from various scientific disciplines: health sciences, psychology, social sciences,
education, and clinical trials, to name a few. The
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.