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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| CE_29C | Tue, 8/4/09, 1:00 PM - 5:00 PM | RH-Renaissance Ballroom West A |
| Bootstrap for Complex Surveys - Continuing Education - Course | ||
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ASA, Section on Survey Research Methods |
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| Instructor(s): Stanislav Kolenikov, University of Missouri-Columbia | ||
| The bootstrap methods for complex survey data have been around for more than two decades, yet their treatment in textbooks and software implementation has been limited. This course is intended for survey statisticians who want to familiarize themselves with the bootstrap methods for complex survey data and find solutions for situations when the standard resampling methods, such as BRR, are not applicable. Basic ideas of the bootstrap will be introduced, and modifications necessary for complex samples from finite populations will be considered. Implementation of the bootstrap procedures by the method of replication weights will be demonstrated. Extensions leading to the bootstrap methods with missing/imputed data will be overviewed. Practical demonstrations will be conducted using Stata and R software packages. Attendees must be familiar with the basic concepts of sampling (i.e., stratification, clustering, varying probabilities of selection, use of sampling weights), design-based estimation (i.e., Horvitz-Thompson estimator, Taylor series linearization for variance estimation), and at least one of the aforementioned software packages. Familiarity with resampling variance estimators (i.e., BRR, jackknife) is an advantage. If you bring your laptop to follow the practical demonstration and perform self-check exercises, please have Stata or R installed. Availability of the power outlets in the room will be limited. Make sure you have a fully charged battery. Performing computationally intensive tasks such as bootstrap depletes batteries at a faster rate than your regular laptop use. | ||
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JSM 2009
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |