Optimum nonparametric estimation of population density based on ordered distances
Biometrics
By: S.A. Patil, J.L. Kovner, and Kenneth P. Burnham
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Abstract
The asymptotic mean and error mean square are determined for the nonparametric estimator of plant density by distance sampling proposed by Patil, Burnham and Kovner (1979, Biometrics 35, 597-604. On the basis of these formulae, a bias-reduced version of this estimator is given, and its specific form is determined which gives minimum mean square error under varying assumptions about the true probability density function of the sampled data. Extension is given to line-transect sampling.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Optimum nonparametric estimation of population density based on ordered distances |
| Series title | Biometrics |
| DOI | 10.2307/2530307 |
| Volume | 38 |
| Issue | 1 |
| Year Published | 1982 |
| Language | English |
| Publisher | International Biometric Society |
| Publisher location | Washington, D.C. |
| Description | 6 p. |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Biometrics |
| First page | 243 |
| Last page | 248 |