title: The impossibility of estimating a negative binomial clustering parameter from presence-absence data: a comment on He and Gaston.
abstract: An important problem is to infer the abundance of a species in an area from its presence or absence in the cells of a uniform grid. If the abundance is assumed to be distributed over cells according to a negative binomial model, a value of the clustering parameter k is needed to infer the abundance. It is shown that, despite a proposal in the literature, k cannot be estimated from presence-absence data but must be given from outside information.
authors: Energy and Resources Group, University of California, Berkeley, California 94720, USA. econlisk@berkeley@.edu
authors: Erin
authors: E
authors: Conlisk
authors: John
authors: J
authors: Conlisk
authors: John
authors: J
authors: Harte
mesh_terms: D015233:Models, Statistical; D011156:Population Density