This online course, covers the basic theory and application of the bootstrap family of procedures, with the emphasis on applications.
After taking this course, participants will be able to use the bootstrap procedure to assess bias and variance, test hypotheses, and produce confidence intervals. The bootstrap is illustrated also for regression and time series procedures. Basic and improved bootstrap procedures are covered.
- Week 1: Introduction
- Week 2: Parameter Estimation
- Week 3: Regression, Time Series, Which Methods?
- Week 4: Special Topics, Bootstrap Failures and Remedies
September 18, 2015 to October 16, 2015
About 15 hours per week, at times of your choosing.
INR 37,740 (assuming $ = INR 60)
Part Time/Full Time:
Statisticians and data analysts who perform statistical inference, or need to assess uncertainty in their data. Those working with data that does not meet the distributional requirements of standard statistical procedures, or with unusual statistics or complex estimators will find the course particularly useful.
- Robert LaBudde