Peter started teaching
resampling about 2 decades ago, when the idea of drawing "resamples"
from your original sample provoked frequent ridicule. Try some
resampling yourself, and learn what it can and can't do, in Peter Bruce’s
online course, "Introduction to
Resampling Methods" at statistics.com. For more details please visit
at http://www.statistics.com/resampling.
"Introduction to Resampling Methods" introduces the basic concepts and methods of resampling, including bootstrap procedures and permutation (randomization) tests. The approach of the course is to teach inference: interval estimation, one-two- and k-sample comparisons, correlation, regression - from a resampling perspective, without complex theory, mathematics or confusing statistical notation. It is a good lead-in to Michael Chernick's Bootstrap course.
Who
can take this course:
Analysts with data or
statistics not suitable for standard analysis (small sample sizes, for example,
or non-standard statistics), analysts who have had some statistics and want to
deepen their knowledge of statistical inference, statisticians unfamiliar with
resampling seeking a basic introduction, instructors interested in the
easy-to-understand, non-formula-based resampling approach.
Course Program:
Course outline: The course is structured as
follows
SESSION 1:
The Resampling Approach to Inference
- Historical perspective
- Hypothesis tests vrs. confidence intervals
- Permutation tests
- The bootstrap
- Virtues of a "naive" do-it-yourself
approach
- The 4-step process
- Specify
population(s)
- Specify
resampling procedure
- Calculate
statistic or estimate of interest
- Repeat
and keep score
- Working with measured data
SESSION 2: Working with Count Data
- The contingency table
- Choice of test statistics
- Fisher's Exact Test
- Chi-Square Test
- Dose-Response Relationship
SESSION 3:
Working with Multivariate Data
- ANOVA
- Correlation
- Regression
You will be able
to ask questions and exchange comments with the instructors via a private
discussion board throughout the course. The courses take place
online at statistics.com in a series of 3 weekly lessons and assignments, and
require about 15 hours/week. Participate at your own convenience; there
are no set times when you must be online. You have the flexibility to work a
bit every day, if that is your preference, or concentrate your work in just a
couple of days.
For Indian
participants statistics.com accepts registration for its courses at special
prices in Indian Rupees through its partner, the Center for eLearning and
Training (C-eLT), Pune.
Call: 020 66009116
Websites:
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