A model for quadrat sampling with “visibility bias”

R. Dennis Cook, Frank B. Martin

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


In aerial census data “visibility bias” is present because of the failure to observe some animals. A model is presented for quadrat sampling of randomly occurring groups whose size follows a single parameter power series distribution when there is a probability q > 0 of missing single animals. Maximum likelihood estimates of group density, average group size, and the visibility bias parameter, q, are presented. Examples with moose census data are worked out.

Original languageEnglish (US)
Pages (from-to)345-349
Number of pages5
JournalJournal of the American Statistical Association
Issue number346
StatePublished - Jun 1974


Dive into the research topics of 'A model for quadrat sampling with “visibility bias”'. Together they form a unique fingerprint.

Cite this