Related Experiment Video
Updated: Jul 26, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
Accommodating unmodeled heterogeneity in double-observer distance sampling surveys
D L Borchers1, J L Laake, C Southwell
1Research Unit for Wildlife Population Assessment, The Observatory, Buchanan Gardens, University of St. Andrews, Fife, KY16 9LZ, Scotland. dlb@mc.st-and.ac.uk
Abstract:
Mark-recapture models applied to double-observer distance sampling data neglect the information on relative detectability of objects contained in the distribution of observed distances. A difference between the observed distribution and that predicted by the mark-recapture model is symptomatic of a failure of the assumption of zero correlation between detection probabilities implicit in the mark-recapture model. We develop a mark-recapture-based model that uses the observed distribution to relax this assumption to zero correlation at only one distance. We demonstrate its usefulness in coping with unmodeled heterogeneity using data from an aerial survey of crabeater seals in the Antarctic.
Related Concept Videos
Surveys
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
One-Way ANOVA: Unequal Sample Sizes
Estimating Population Mean with Unknown Standard Deviation
William S. Gosset (1876–1937) of the Guinness...

