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