Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy-related parameters while allowing for imperfect detectability, and make recommendations for designing studies using these models.

Provides authoritative insights into the latest in estimation modeling
Discusses multiple models which lay the groundwork for future study designs
Addresses critical issues of imperfect detectibility and its effects on estimation
Explores the role of probability in estimating in detail

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Cutting-edge information on improving ecological statistics and estimation

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