Skip to main content

Optimal sampling schemes based on the anticipated variance with lack of fit

Buy Article:

$50.00 plus tax (Refund Policy)

Abstract:



This note presents an important improvement for optimal sampling schemes based on the anticipated variance. The anticipated variance is defined as the average of the design-based variance under a simple stochastic model in which the trees are assumed to be uniformly and independently distributed within a given number of so-called Poisson strata. We consider two-phase two-stage cluster sampling schemes in which costs and terrestrial second-phase sampling density can vary over domains. The estimation procedure is based on post-stratification with respect to so-called working strata that do not need to be identical with the Poisson strata, usually unknown, which induces a lack of fit. It is then possible to derive analytically the optimal sampling schemes. Data from the Swiss National Inventory illustrates the method.

Cette note présente une amélioration importante pour élaborer des plans de sondage optimaux basés sur la variance anticipée. La variance anticipée est la moyenne de la variance propre au plan de sondage par rapport à un modèle stochastique pour la distribution spatiale des arbres dans lequel les arbres sont répartis de façon indépendente et uniformément à l'intérieur de strates (dites de Poisson). Nous considérons des plans de sondages en satellites à deux phases et deux degrés pour lesquels la densité de sondage terrestre de la deuxième phase ainsi que les coûts peuvent varier d'un domaine à l'autre. La procédure d'estimation repose sur une post-stratification par rapport à des strates, dites de travail, qui ne sont pas forcément identiques aux strates de Poisson, d'ailleurs inconnues le plus souvent. Ceci engendre un déficit d'ajustement (« lack of fit »). Il est alors possible de calculer analytiquement les plans de sondage optimaux. Des données de l'Inventaire Forestier National Suisse illustrent la méthode.

Document Type: Miscellaneous

Publication date: December 1, 2002

More about this publication?
  • 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.
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Terms & Conditions
  • Sample Issue
  • Reprints & Permissions
  • ingentaconnect is not responsible for the content or availability of external websites
nrc/cjfr/2002/00000032/00000012/art00017
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more