IMPROVING PRECISION AND REDUCING BIAS IN BIOLOGICAL SURVEYS: ESTIMATING FALSE-NEGATIVE ERROR RATES.

Autor: Tyre, Andrew J., Tenhumberg, Brigitte, Field, Scott A., Niejalke, Darren, Parris, Kirsten, Possingham, Hugh P.
Předmět:
Zdroj: Ecological Applications; Dec2003, Vol. 13 Issue 6, p1790-1801, 12p
Abstrakt: The article presents a study which aims to develop a model that permits the estimation of the rate of false-negative errors while improving precision and reducing bias in biological surveys. Correction of estimates of the probability of occurrence for false-negative errors through repeated visits to the same site using an extension of logistic modeling, the zero-inflated binomial (ZIB) model is offered. Results indicating greater efficiency and flexibility and elimination of bias are explained.
Databáze: Supplemental Index