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Can I read Estimating Presence and Abundance of Closed Populations (Statistics for Biology and Health) on EtoBox?

Estimating Presence and Abundance of Closed Populations (Statistics for Biology and Health) by George A. F. Seber, Matthew R. Schofield is a nonfiction available to read on EtoBox.

What is Estimating Presence and Abundance of Closed Populations (Statistics for Biology and Health) about?

This comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed populations. With the effect of climate change, and human territory invasion, we have seen huge species losses and a major biodiversity decline. Populations include plants, trees, various land and sea animals, and some human populations. With such a diversity of populations, an extensive variety of different methods are described with the collection of different types of data. For example, we have count data from plot sampling, which can also allow for incomplete detection. There is a large chapter on occupancy methods where a major interest is determining whether a particular species is present or not. Citizen and opportunistic survey data can also be incorporated. A related topic is species methods, where species richness and species' interactions are of interest. A variety of distance methods are discussed. One can use distances from points and lines, as wellas nearest neighbor distances. The applications are extensive, and include marine, acoustic, and aerial surveys, using multiple observers or detection devices. Line intercept measurements have a role to play suc

Who reads Estimating Presence and Abundance of Closed Populations (Statistics for Biology and Health)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
George A. F. Seber, Matthew R. Schofield
Publisher
Springer International Publishing AG
Published
2023
Language
EN
ISBN
9783031398346
Category
nonfiction
Subjects
Mathematics, Medical, Science

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