Applications of nonparametric methods in natural resource surveys
	     Jean Opsomer
	     Colorado State University

In many surveys of natural resources, auxiliary information is readily 
available and can be used to develop models to assist in estimation of 
finite population quantities.  Over the past few years, several 
collaborators and I have applied nonparametric methods in surveys in 
agriculture, forestry and aquatic resource assessment.  I will describe 
some of these applications and illustrate the advantages of the 
nonparametric approaches over the more traditional parametric ones.  
Nonparametric estimation for survey data remains a relatively new area 
with plenty of opportunities for innovative and practically useful research.