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Notes: Stein-Rule Estimation of Timber Removals by County

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The Stein-rule estimator for multivariate, unequal variance problems proposed by Morris in 1983 is applied to timber volume removal data from 11 counties in Louisiana. The estimator compared favorably to the standard sample mean in simulation trials with two sampling rules. The county means were closer to each other and had larger variances for hardwood removals than for softwood removals. Thus the gains were larger (up to 50% reductions in squared error) for hardwood removals, but there were substantial gains (10-30%) for softwood removals also. For. Sci. 33(4):1054-1061.

Keywords: Empirical Bayes estimation; bootstrap; forest inventory

Document Type: Miscellaneous

Affiliations: Professor of Statistics, Rutgers University, New Brunswick, NJ 08903

Publication date: 1987-12-01

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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.
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    June 1, 2016 to Feb. 28, 2017

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