December 2014
Beginner
312 pages
8h 30m
English
Content preview from Introductory Statistics and Analytics: A Resampling PerspectiveBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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ACKNOWLEDGMENTS
STAN BLANK
The programmer for Resampling Stats, Stan has participated actively in many sessions of Statistics.com courses based on this work and has contributed well both to the presentation of regression and to the clarification and improvement of sections that deal with computational matters.
MICHELLE EVERSON
Michelle Everson, editor (2013) of the Journal of Statistics Education, has taught many sessions of the introductory sequence at Statistics.com and is responsible for the material on decomposition in the ANOVA chapter. Her active participation in the statistics education community has been an asset as we have strived to improve and perfect this text.
ROBERT HAYDEN
Robert Hayden has taught early sessions of this course and has written course materials that served as the seed from which this text grew. He was instrumental in getting this project launched.
In the beginning, Julian Simon, an early resampling pioneer, first kindled my interest in statistics with his permutation and bootstrap approach to statistics, his Resampling Stats software (first released in the late 1970s), and his statistics text on the same subject. Simon, described as an “iconoclastic polymath” by Peter Hall in his “Prehistory of the Bootstrap,” (Statistical Science, 2003, vol. 18, #2), is the intellectual forefather of this work.
Our Advisory Board—Chris Malone, William Peterson, and Jeff Witmer (all active in GAISE and the statistics education community in general) reviewed the overall ...
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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.