Premium
Hazard Models for Line Transect Surveys with Independent Observers
Author(s) -
Skaug Hans J.,
Schweder Tore
Publication year - 1999
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.1999.00029.x
Subject(s) - hazard , poisson distribution , statistics , parametric statistics , parametric model , computer science , point process , function (biology) , transect , robustness (evolution) , econometrics , mathematics , geology , ecology , biochemistry , evolutionary biology , gene , biology , oceanography , chemistry
Summary. 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 the detection function. We discuss different criteria for choosing the hazard function and consider in particular two different parametric families of hazard functions. Discrete and continuous hazard models are compared and the robustness of the discrete model is investigated. Finally, the methodology is applied to data from a survey for minke whales in the northeastern Atlantic.