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Compatible Estimators of the Components of Change for a Rotating Panel Forest Inventory Design

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Abstract:

This article presents two approaches for estimating the components of forest change utilizing data from a rotating panel sample design. One approach uses a variant of the exponentially weighted moving average estimator and the other approach uses mixed estimation. Three general transition models were each combined with a single compatibility model for the mixed estimation approach. The four resulting estimation systems are compared and contrasted in a sample simulation study covering four simulated populations.

Keywords: estimation; harvest; mortality; sampling; simulation

Document Type: Research Article

Affiliations: Francis A. Roesch, Mathematical Statistician, Forest Inventory and Analysis, Southern Research Station, USDA Forest Service, 200 WT Weaver Blvd., Asheville, NC 28804-3454—Phone: (828) 257-4871;, Fax: (828) 257-4894, Email: froesch@fs.fed.us.

Publication date: February 1, 2007

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
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