 While this can improve the precision of density/abundance estimates, its use is only defensible if the data set is of sufficient size and quality to represent a reliable estimate of detection distance distribution.Otherwise there is a risk of overfitting the data and allowing non-representative characteristics of the data set to bias the fitting process.Since distance sampling is a comparatively complex survey method, the reliability of model results depends on meeting a number of basic assumptions.