Wednesday 13 June 2012

Introduction to Resampling Methods


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.

For India Registration and pricing, please visit us at www.india.statistics.com.

Call: 020 66009116

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