Variance of the Estimated Population Density from a Presence-Absence Sample

$28.00 plus tax (Refund Policy)

Buy Article:

Abstract:

A range of expressions has been proposed for the variance of estimates of pest population densities based on presence-absence samples. An equation of the form In(m) =a + b In(-In p) is used to relate m, the mean density of a sample, to p, the proportion of uninfested sampling units. In this article, the derivation of the variance and the accompanying assumptions are examined. Because many presence-absence samples are not truly random, it is proposed that an adjustment be made to the term in the variance that results from sampling. This adjustment, called the design effect, is illustrated using results for twos potted spider mite, Tetranychus urticae Koch, on strawberries and is shown to be greatest for large values of p.

Document Type: Research Article

Publication date: December 1, 1992

More about this publication?
  • Journal of Economic Entomology is published bimonthly in February, April, June, August, October, and December. The journal publishes articles on the economic significance of insects and is divided into the following sections: apiculture & social insects; arthropods in relation to plant disease; forum; insecticide resistance and resistance management; ecotoxicology; biological and microbial control; ecology and behavior; sampling and biostatistics; household and structural insects; medical entomology; molecular entomology; veterinary entomology; forest entomology; horticultural entomology; field and forage crops, and small grains; stored-product; commodity treatment and quarantine entomology; and plant resistance. In addition to research papers, Journal of Economic Entomology publishes Letters to the Editor, interpretive articles in a Forum section, Short Communications, Rapid Communications, and Book Reviews.
  • Editorial Board
  • Submit a Paper
  • Subscribe to this Title
  • Information for Advertisers
  • Visit this journal's homepage
  • ingentaconnect is not responsible for the content or availability of external websites
Related content

Tools

Favourites

Share Content

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