When it first appeared in publications over 40 years ago, the bootstrap was greeted with some skepticism and controversy. To many, it seemed too easy -- wide ranging benefits were to be had in inference at the cost of very little conceptual effort. Due partly to its simplicity, the bootstrap is now a vital statistical tool and its use is ubiquitous – learn more in Michael Chernick’s online course “Bootstrap Methods” September 24 – October 22 at statistics.com.
Participants can ask questions and exchange comments with Dr. Chernick via a private discussion board throughout the period.
Details:
http://www.statistics.com/ourcourses/Bootstrap/
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Bayesian statistics seeks to answer questions like “what is the probability that this hypothesis is true?” – questions
that are often more useful to ask than those produced by the highly structured logical framework of frequentist statistics.
The advance of statistical computing has greatly strengthened Bayesian methods, which involve sometimes formidable computations. Get your introduction to Bayesian computing September 24 – October 22 with Peter Congdon’s online course “An Introduction to Bayesian Computing and Techniques” at statistics.com
Participants can ask questions and exchange comments with Dr. Congdon via a private discussion board throughout the period.
Details:
http://www.statistics.com/ourcourses/BayesianComputing
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statistics.com offers 80+ online courses in statistics from introductory to advanced. Courses last 3-4 weeks, and require approximately 15 hours per week. Faculty are leading authors and experts. No set hours when you must be on online; daily interaction with instructors and fellow students.
www.statistics.com
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