Alternative Estimators for Point-Poisson Sampling
Abstract:A new jackknife-based variance estimate is derived for point-Poisson (point-3P) sampling. This variance estimate is shown to be superior to most estimates derived assuming point-pps with or without replacement sampling, for a population with a very strong linear relationship between the variable of interest and the covariate used for sample selection and estimation. Only a variance estimate suggested by L. Grosenbaugh is equally good. This variance estimate is recommended since it is simplest to compute. Both the standard point-Poisson and a proposed unbiased jackknife estimate of total volume are about equally efficient. Forest Sci. 30:803-812.
Document Type: Journal Article
Affiliations: Plant Analyst, Regional Timber Office, Container Corporation of America, P.O. Box T, Fernandina Beach, FL 32034
Publication date: 1984-09-01
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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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