A Statistical Procedure for Combining Different Types of Sampling Units in a Forest Inventory
Abstract:A procedure to permit the simultaneous use of more than one primary sampling unit (psu) to give greater flexibility in a forest inventory is presented. Of primary interest is the case where n1 independent samples of size a1 are selected with probability proportional to frequency (ppf) and n2 independent samples of size a2 are selected with probability proportional to size (pps), where a1 is the plot area in acres and a2 is the average plot area in acres. The resulting estimator Z of the population mean is derived as a function of the sample means for each sampling unit and appropriately chosen weights. The variance of this estimator is examined for various choices of weighting functions.
Document Type: Journal Article
Affiliations: Professor, School of Forestry, University of Minnesota
Publication date: September 1, 1969
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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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