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Stratifying to reduce bias caused by high nonresponse rates : a case study from New Mexico's forest inventory

Author: Sara A Goeking; Paul L Patterson; Rocky Mountain Research Station (Fort Collins, Colo.),
Publisher: Fort Collins, CO : United States Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2013.
Series: Research note RMRS, RN-59.
Edition/Format:   eBook : Document : National government publication : EnglishView all editions and formats
Database:WorldCat
Summary:
The USDA Forest Service's Forest Inventory and Analysis (FIA) Program applies specific sampling and analysis procedures to estimate a variety of forest attributes. FIA's Interior West region uses post-stratification, where strata consist of forest/nonforest polygons based on MODIS imagery, and assumes that nonresponse plots are distributed at random across each stratum. The sample of New Mexico's forests during  Read more...
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Details

Genre/Form: Case studies
Material Type: Document, Government publication, National government publication, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sara A Goeking; Paul L Patterson; Rocky Mountain Research Station (Fort Collins, Colo.),
OCLC Number: 869307343
Notes: Title from caption (viewed on Jan. 28, 2014).
"October 2013."
Description: 1 online resource (22 pages) : illustrations (some color).
Series Title: Research note RMRS, RN-59.
Responsibility: Sara A. Goeking and Paul L. Patterson.

Abstract:

The USDA Forest Service's Forest Inventory and Analysis (FIA) Program applies specific sampling and analysis procedures to estimate a variety of forest attributes. FIA's Interior West region uses post-stratification, where strata consist of forest/nonforest polygons based on MODIS imagery, and assumes that nonresponse plots are distributed at random across each stratum. The sample of New Mexico's forests during 2005-2013 did not meet this assumption due to a large number of private landowners who denied permission to access plots on their properties. We developed a modified stratification scheme to minimize bias in our estimates of forest attributes. The purpose of this paper is twofold: first, to document the customized stratification methods used for the New Mexico forest inventory of 2005-2013, and second, to provide sufficient instructions for application of this method to other states or inventories where high nonresponse rates occur.

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