Results 221 to 230 of about 16,314 (251)
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Kernel Methods in Line and Point Transect Sampling
Biometrics, 1998Summary: We consider kernel estimation of population density based on size and distance data in line and point transect sampling. Asymptotic normality of the estimators is established in each setting, with very weak assumptions imposed on the random sample size.
Mack, Y. P., Quang, Pham X.
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Radial-Distance Models for the Line-Transect Method
Biometrics, 1983Line-transect estimation of wildlife populations can be based on either right-angle distances or radial distances. Estimation based on radial distances requires more restrictive assumptions about the mechanism by which observations are generated. We examine this mechanism and show that the mean sighting angle may frequently be larger than predicted by ...
Hayes, R. J., Buckland, S. T.
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Perpendicular Distance Models for Line Transect Sampling
Biometrics, 1985Perpendicular distance line transect models are examined to assess whether any single model can provide a general procedure for analysing line transect data. Of the two-parameter models considered, the hazard-rate model appears promising, whereas the exponential power series and exponential quadratic models do not.
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Line Transect Sampling in Small and Large Regions
Biometrics, 2005SummaryMelville and Welsh(2001,Biometrics57,1130–1137) consider an approach to line transect sampling using a separate calibration study to estimate the detection functiong. They present a simulation study contrasting their results with poor results from a traditional estimator, labeled the “Buckland” estimator and referenced toBuckland et al.(1993 ...
Rachel M, Fewster +2 more
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A Semiparametric Model for Line Transect Sampling
Communications in Statistics - Theory and Methods, 2006This paper introduces an appealing semiparametric model for estimating wildlife abundance based on line transect data. The proposed method requires the existence of a parametric model and then improves the estimator using a kernel method. Properties of the resultant estimator are derived and an expression for the asymptotic mean square error (AMSE) of ...
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2001
The line-transect technique is relatively easy to apply in the field, but the underlying theory and the mathematics involved are complicated, and consequently a computer and appropriate software are essential tools. The underlying theory has been described in a series of papers. The two most important papers were a monograph by Burnham et al.
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The line-transect technique is relatively easy to apply in the field, but the underlying theory and the mathematics involved are complicated, and consequently a computer and appropriate software are essential tools. The underlying theory has been described in a series of papers. The two most important papers were a monograph by Burnham et al.
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A Line Transect Model for Aerial Surveys
Biometrics, 1991We employ line transect methods to estimate the density of the common and Pacific loon in the Yukon Flats National Wildlife Refuge from aerial survey data. Line transect methods have the advantage of automatically taking into account "visibility bias" due to detectability differences of animals at different distances from the transect line.
Pham Xuan Quang, Richard B. Lanctot
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Some Mathematical Models for Line Transect Sampling
Biometrical Journal, 1985AbstractANDERSON and POSPAHALA (1970) investigated the estimation of wildlife population size using the belt or line transect sampling method and devised a correction for bias, thus leading to an estimator with interesting characteristics. This work was given a uniform mathematical framework in BURNHAM and ANDERSON (1976).
Anderson, D. R. +2 more
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Line Transect Sampling with Unknown Probability of Detection along the Transect
Biometrics, 1989SUMMARY A model is given for line transect sampling for the purpose of estimating animal population density which makes no assumption about the value of the detection probability along the transect or about the form of the detection probability function other than continuity.
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Spatial models for line transect sampling
Journal of Agricultural, Biological, and Environmental Statistics, 2004This article develops methods for fitting spatial models to line transect data. These allow animal density to be related to topographical, environmental, habitat, and other spatial variables, helping wildlife managers to identify the factors that affect abundance.
Sharon L. Hedley, Stephen T. Buckland
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