The online course, 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, and regression, from a resampling perspective, without complex theory, mathematics or confusing statistical notation. A companion course, Bootstrap Methods, covers the bootstrap with more theory and in greater detail.
Course Program:
- Week 1: The Resampling Approach to Inference
- Week 2: Working with Count Data
- Week 3: Working with Multivariate Data
Important Date:
July 08, 2016 to July 29, 2016
Duration:
3 Weeks
Time Requirement:
About 15 hours per week, at times of your choosing.
Fees:
INR 28,140 (assuming $ = INR 60)
Part Time/Full Time:
Part Time
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.
- R
- Resampling for Stats
- Robert LaBudde