JSM 2005 Online Program

Abstract #303273

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:	263
Type:	Topic Contributed
Date/Time:	Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Survey Research Methods
Abstract - #303273
Title:	County-level Estimates of Cover and Crop Management Factor for the National Resources Inventory
Author(s):	Pushpal Mukhopadhyay*+ and Tapabrata Maiti and Wayne A. Fuller
Companies:	Iowa State University and Iowa State University and Iowa State University
Address:	Dept of Statistics, Ames, IA, 50011, United States
Keywords:	Small Area Estimates ; Imputation ; Area Level Model ; Soil Erosion ; National Resources Inventory
Abstract:	The National Resources Inventory (NRI) is a longitudinal national survey of U.S. nonfederal lands. The objectives of the survey are to produce estimates such as land use, land cover, and soil erosion at the national and subnational levels. Soil erosion for small areas such as counties is important for local environmental planning. The cover and crop management factor (C-factor) is one of the inputs used to determine soil erosion in NRI surveys. We develop an estimation model for the C-factor with a meaningful covariate that can be used in small-area estimation for counties. The NRI dataset constitutes a significant proportion of imputed values. An existing small-area procedure is extended to adjust for the effect of imputed data and applied to the NRI data. Finally, the results are contrasted with those obtained from incomplete data.

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