Approximate Srivastava Estimation in Forestry

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Srivastava estimation formalizes the introduction of additional prior and posterior information in sampling to increase efficiency in estimation. An unbiased new estimator is given for Poisson sampling which is approximately as efficient as the standard slightly biased estimator without using any additional information. The increased efficiency possible with this method or approximations to it are illustrated for Poisson sampling and point-Poisson sampling using simulations. Srivastava estimation may be applicable in many forest inventory situations. Besides efficiency, the seriousness of estimation bias and reliability of variance estimators need to be considered in all applications. FOR. SCI. 39(2):309-320.

Keywords: Poisson sampling; estimation bias

Document Type: Journal Article

Affiliations: Project Leader, USDA Forest Service, Rocky Mountain Forest and Range Experiment Station, Fort Collins, CO 80526

Publication date: May 1, 1993

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