Notes: An Alternative Estimator for Horizontal Point Clusters
Abstract:A new approach is suggested here for estimating stand attributes when horizontal point clusters (HPCs) are used. The approach is unbiased with smaller variance than the traditional unbiased estimator for HPCs. The necessary formulas for equidistant 3-point clusters are derived. The new estimator offers an opportunity to reduce variance without changing the sample design. For. Sci 35(1):257-262.
Document Type: Miscellaneous
Affiliations: Mathematical Statistician, USDA Forest Service, Southern Forest Experiment Station, 701 Loyola Ave, New Orleans, LA. 70113
Publication date: March 1, 1989
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- 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.
Forest Science is published bimonthly in February, April, June, August, October, and December.
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