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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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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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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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A Remark on the Line Transect Method
Biometrical Journal, 1982AbstractThis paper gives a re‐formulation of a model for the line transect method in terms of the theory of stationary point processes. The well‐known formulae for this method are shown to be valid also under very general assumptions.
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Line Transect Method of Estimating Grouse Population Densities
Biometrics, 1968SUMMARY A new estimator is proposed for estimating ruffed grouse population densities by the line transect method of sampling. The estimator, utilizing only the right angle distances from the observer to the sighted animal, is shown to be approximately unbiased and an approximate variance of the estimator is provided in explicit form.
C E, Gates, W H, Marshall, D P, Olson
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Mathematical Models for Nonparametric Inferences from Line Transect Data
Biometrics, 1976A general mathematical theory of line transects is develoepd which supplies a framework for nonparametric density estimation based on either right angle or sighting distances. The probability of observing a point given its right angle distance (y) from the line is generalized to an arbitrary function g(y).
Burnham, K. P., Anderson, D. R.
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Hazard Models for Line Transect Surveys with Independent Observers
Biometrics, 1999Summary. The likelihood function for data from independent observer line transect surveys is derived, and a hazard model is proposed for the situation where animals are available for detection only at discrete time points. Under the assumption that the time points of availability follow a Poisson point process, we obtain an analytical expression for ...
Skaug, Hans J., Schweder, Tore
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Line transect estimators for schooling populations
Fisheries Research, 1985Abstract Line transect estimators are derived for the number of schools and number of individuals in a schooling population where the probability of sighting a school is a non-decreasing function of school size. The sighting curve for all schools is a weighted sum of individual sighting curves.
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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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