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Alternative Estimators for Point-Poisson Sampling

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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.

Keywords: 3P; Jackknife; Raj estimator; negative variance estimates; pps with and without replacement

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

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.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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