Abstract
The traditional change-in-ratio (CIR) method for estimating the size of animal populations assumes that the population is split into two disjoint and exhaustive components. A method for obtaining maximum likelihood estimates of population component sizes is presented for the more general situation in which the CIR method is utilized by splitting the population into three disjoint components. The large sample variance-covariance matrix of these estimators is derived.
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