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Books > Professional & Technical > Civil engineering, surveying & building > Structural engineering > Surveying > Quantity surveying

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Occupancy Estimation and Modeling - Inferring Patterns and Dynamics of Species Occurrence (Hardcover) Loot Price: R1,851
Discovery Miles 18 510
Occupancy Estimation and Modeling - Inferring Patterns and Dynamics of Species Occurrence (Hardcover): Darryl I. MacKenzie,...

Occupancy Estimation and Modeling - Inferring Patterns and Dynamics of Species Occurrence (Hardcover)

Darryl I. MacKenzie, James D. Nichols, J. Andrew Royle, Kenneth H. Pollock, Leslie Bailey, James E. Hines

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Loot Price R1,851 Discovery Miles 18 510 | Repayment Terms: R173 pm x 12*

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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

General

Imprint: Academic Press Inc
Country of origin: United States
Release date: November 2005
First published: November 2005
Authors: Darryl I. MacKenzie • James D. Nichols • J. Andrew Royle • Kenneth H. Pollock • Leslie Bailey • James E. Hines
Dimensions: 240 x 163 x 24mm (L x W x T)
Format: Hardcover
Pages: 324
ISBN-13: 978-0-12-088766-8
Categories: Books > Professional & Technical > Civil engineering, surveying & building > Structural engineering > Surveying > Quantity surveying
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LSN: 0-12-088766-5
Barcode: 9780120887668

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