Mathematical models for nonparametric inferences from line transect data.

K P Burnham; D R Anderson

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PubMed · 953133

Mathematical models for nonparametric inferences from line transect data.

K P Burnham·D R Anderson

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Abstract

A 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). Given only that g(O) = 1, it is shown there are nonparametric approaches to density estimation using the observed right angle distances. The model is then generalized to include sighting distances (r). Let f(y/r) be the conditional distribution of right angle distance given sighting distance. It is shown that nonparametric estimation based only on sighting distances requires we know the transformation of r given by f(O/r).

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K P Burnham, D R Anderson. 1976. Mathematical models for nonparametric inferences from line transect data.. https://pubmed.ncbi.nlm.nih.gov/953133/

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