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Titlebook: Estimating Presence and Abundance of Closed Populations; George A. F. Seber,Matthew R. Schofield Book 2023 The Editor(s) (if applicable) a

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樓主: irritants
41#
發(fā)表于 2025-3-28 16:03:13 | 只看該作者
Model Building,ion of both, and between a frequentist and Bayesian-type model. Hierarchical and mixture models are becoming more commonly used along with logistic and loglinear regression models involving covariates. Model selection is always present in studies, with model averaging becoming more popular. This ine
42#
發(fā)表于 2025-3-28 21:06:35 | 只看該作者
43#
發(fā)表于 2025-3-29 02:40:30 | 只看該作者
Detectability, involves further unknown parameters, further data is needed, and a further reduction in the number of parameters can be made using regression-type modeling with a link function and covariates. To aid in the theory development, a constant and known probability of detection is assumed to begin with,
44#
發(fā)表于 2025-3-29 06:46:52 | 只看該作者
Occupancy, Abundance, and Related Topics,xtensive, as referred to in some reviews mentioned, and both frequentist and Bayesian methods have been developed for all kinds of population, including those of animal signs. The methods are particularly important in dealing with the incomplete detection of rare species or species with a low detect
45#
發(fā)表于 2025-3-29 07:39:21 | 只看該作者
Species Methods,ipt to allow for species type and allow for a community approach. Species distribution models for a single species are considered for which there are a large literature and extensive reviews..Environment and species modeling is discussed in several places, as well as various Bayesian models. Communi
46#
發(fā)表于 2025-3-29 14:55:55 | 只看該作者
47#
發(fā)表于 2025-3-29 16:31:43 | 只看該作者
Point Counts and Point-Distance Methods, on a line transect or some linear feature such as a road or track. The number of animals (or clusters) or objects (e.g., animal signs) observed or heard is counted in a circular plot centered on the point with radius .. The second method also includes the distances from the center to each individua
48#
發(fā)表于 2025-3-29 19:42:56 | 只看該作者
49#
發(fā)表于 2025-3-30 03:34:01 | 只看該作者
50#
發(fā)表于 2025-3-30 06:50:52 | 只看該作者
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