JSM 2005 Online Program

Abstract #304411

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	414
Type:	Luncheons
Date/Time:	Wednesday, August 10, 2005 : 12:30 PM to 1:50 PM
Sponsor:	Section on Statistics and the Environment
Abstract - #304411
Title:	Nearest Neighbor Methods
Author(s):	Ronald E. McRoberts*+
Companies:	U.S.D.A. Forest Service
Address:	North Central Research Station, St Paul, MN, 55108, United States
Keywords:	Non-parametric ; Multivariate ; Imputation
Abstract:	Nearest neighbor methods have become increasingly popular in a variety of disciplines, including environmental and natural resources, weather, epidemiology, engineering, and social sciences. In their basic form, these methods may be characterized as a class of nonparametric, multivariate, imputation techniques. The essence of nearest neighbor methods is the imputation of attributes to unobserved units from observed units that are similar with respect to a selected measure. Options for implementing nearest neighbor methods include selection of the similarity measure, weighting schemes, and methods for calculating the value to be imputed. A variety of innovative approaches has been developed for enhancing the quality of nearest neighbor imputations, the speed of computations, and implementation for large datasets. This roundtable discussion will focus on variations of methods and enhancements.

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