Comparison of different measures of the error in simulated radio- telemetry locations

D. Saltz; G. C. White

doi:10.2307/3808917

Comparison of different measures of the error in simulated radio- telemetry locations

D. Saltz, G. C. White

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

Used computer simulations to compare 8 potential measures of linear error involved in estimating ratio locations by triangulation. Linear error is defined as the shortest or Euclidean distance (ED) between the estimated triangulation point and the actual radio location. A good error measure is defined as one that is highly correlated to the 95% quantile of all possible ED's around a given location. The major axis of the confidence ellipse (determined by Lenth's 1981 maximum likelihood estimator) performed best. -from Authors

Original language	English
Pages (from-to)	169-174
Number of pages	6
Journal	Journal of Wildlife Management
Volume	54
Issue number	1
DOIs	https://doi.org/10.2307/3808917
State	Published - 1 Jan 1990
Externally published	Yes

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics
Ecology
Nature and Landscape Conservation

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10.2307/3808917

Cite this

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abstract = "Used computer simulations to compare 8 potential measures of linear error involved in estimating ratio locations by triangulation. Linear error is defined as the shortest or Euclidean distance (ED) between the estimated triangulation point and the actual radio location. A good error measure is defined as one that is highly correlated to the 95% quantile of all possible ED's around a given location. The major axis of the confidence ellipse (determined by Lenth's 1981 maximum likelihood estimator) performed best. -from Authors",

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AB - Used computer simulations to compare 8 potential measures of linear error involved in estimating ratio locations by triangulation. Linear error is defined as the shortest or Euclidean distance (ED) between the estimated triangulation point and the actual radio location. A good error measure is defined as one that is highly correlated to the 95% quantile of all possible ED's around a given location. The major axis of the confidence ellipse (determined by Lenth's 1981 maximum likelihood estimator) performed best. -from Authors

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Comparison of different measures of the error in simulated radio- telemetry locations

Abstract

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