JSM 2003 Online Program

Abstract #301820

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Activity Number:	367
Type:	Contributed
Date/Time:	Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor:	Section on Physical and Engineering Sciences
Abstract - #301820
Title:	Partial Influence Functions
Author(s):	James H. Yen*+
Companies:	National Institute of Standards and Technology
Address:	Statistical Engineering Division, Gaithersburg, MD, 20899-8980,
Keywords:	robust statistics ; variance estimation
Abstract:	Influence funtions have been called the "most useful heuristic tool of robust statistics." The influence function of a statistic describes some general properties of a statistic, including its susceptibitlity to outliers in the data. For statistics that are functions of more than one variable, partial influence functions yield valuable information on how the statistic is affected by each variable. A primary use of partial influence functions is that, as with univariate influence functions, the partial influence functions can be used to calculate the asymptotic variance of the statistic.

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