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Forest inventory: further results for optimal sampling schemes based on the anticipated variance

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Abstract:

This work presents optimal allocation rules for two-phase, two-stage sampling schemes in which the sampling density and the costs of the second phase can vary over domains. The optimality criterion is based on the anticipated variance. It also gives an improved version of discrete approximation for the resulting inclusion probabilities. An example illustrates the theory.

Cet article présente une méthode d'allocation optimale de plans de sondage à deux phases et deux degrés, où le taux de sondage et les coûts dans la deuxième phase peuvent varier entre domaines. Le critère d'optimalité est basé sur la variance anticipée. De plus, on donne de meilleures approximations discrètes des probabilités d'inclusion. Un exemple illustre la théorie.

Document Type: Research Article

Publication date: October 1, 2001

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  • Published since 1971, this monthly journal features articles, reviews, notes and commentaries on all aspects of forest science, including biometrics and mensuration, conservation, disturbance, ecology, economics, entomology, fire, genetics, management, operations, pathology, physiology, policy, remote sensing, social science, soil, silviculture, wildlife and wood science, contributed by internationally respected scientists. It also publishes special issues dedicated to a topic of current interest.
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