JSM Activity #76

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Activity ID:  76
Title
Robust Methods and Outlier Detection
Date / Time / Room Sponsor Type
08/12/2002
8:30 AM - 10:20 AM
Room: S-Riverside Ballroom 		ENAR, General Methodology Contributed
Organizer: n/a
Chair: Jerome P. Reiter, University of California, Santa Barbara
Discussant:  
Floor Discussion 10:05 AM
Description

This session presents robust methods for tolerance intervals, contaminated pareto models, and stochastic differential equations. This session also discusses the detection of outliers in autocorrelated data as well as the effect of swamping on outlier detection in normal samples.
  301375  By:  Luisa T. Fernholz 8:35 AM 08/12/2002
Robust and Smoothed Corrected Contents for Tolerance Intervals

  301216  By:  Vytaras  Brazauskas 8:50 AM 08/12/2002
Optimal Trimming in Contaminated Pareto Samples

  300632  By:  Katherine  Fradette 9:05 AM 08/12/2002
Comparing the "Typical" Score Across Independent Treatment Groups

  301498  By:  Marc G. Genton 9:20 AM 08/12/2002
Robust Indirect Inference for Stochastic Differential Equations

  300537  By:  Thomas W. Woolley 9:35 AM 08/12/2002
The Effect of Swamping on Outlier Detection in Normal Samples

  301701  By:  Madhusudan  Bhandary 9:50 AM 08/12/2002
Detection of Outliers in Multivariate Data When the Errors are Autocorrelated

JSM 2002

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Revised March 2002