Use of covariates in Taylor's power law for sequential sampling in pest management

Heungsun Park, Ki Jong Cho

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In pest management, the pest density within a group of plants needs to be estimated for taking timely actions, such as spraying pesticides or releasing natural enemies. Taylor's power law is widely used for identifying the aggregation patterns of the pests and designing a sequential sampling plan to estimate the pest mean density. The conventional estimates given by Taylor's power law do not consider potential density differences due to various covariates, but focus only on the relationship between the sample means and the variances. In thisarticle, we develop a new sequential sampling stop line based on Taylor's power law by using quasi-likelihood with covariate effects. The simulation results show that the proposed estimators are better than the conventional estimators in terms of mean squared error. For validation and evaluation of the sampling stop line given by the proposed estimator, we use RVSP software in which actual observations are randomly and iteratively sampled until the total number of a pest reaches the stop line. We demonstrate both types of sequential sampling stop lines, those based on the conventional method and those based on the new method, for the population density of spider mites on glasshouse roses.

Original languageEnglish
Pages (from-to)462-478
Number of pages17
JournalJournal of Agricultural, Biological, and Environmental Statistics
Volume9
Issue number4
DOIs
Publication statusPublished - 2004 Dec 1

Fingerprint

Sequential Sampling
Pest Control
pest control
pest management
Covariates
Power Law
power law
Tetranychidae
Sampling
pests
Line
sampling
Population Density
Estimator
Pesticides
Software
Spiders
Quasi-likelihood
Sample mean
Spraying

Keywords

  • Generalized linear models
  • Over-dispersed
  • Poisson regression
  • Pseudo-likelihood
  • Quasi-likelihood

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Environmental Science(all)
  • Applied Mathematics
  • Statistics and Probability

Cite this

Use of covariates in Taylor's power law for sequential sampling in pest management. / Park, Heungsun; Cho, Ki Jong.

In: Journal of Agricultural, Biological, and Environmental Statistics, Vol. 9, No. 4, 01.12.2004, p. 462-478.

Research output: Contribution to journalArticle

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