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Wildlife demography : analysis of sex, age, and count data / John R. Skalski and Kristen E. Ryding, Joshua J. Millspaugh.

EBSCOhost Academic eBook Collection (North America) Available online

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Ebook Central Academic Complete Available online

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Format:
Book
Author/Creator:
Skalski, J. R.
Contributor:
Ryding, Kristen E. (Kristen Elaine)
Millspaugh, Joshua J.
Language:
English
Subjects (All):
Animal populations--Estimates--Statistical methods.
Animal populations.
Animals--Counting--Statistical methods.
Animals.
Physical Description:
1 online resource (655 p.)
Edition:
1st ed.
Other Title:
Analysis of sex, age, and count data
Place of Publication:
Amsterdam ; Boston : Elsevier Academic Press, c2005.
Language Note:
English
Summary:
Wildlife Demography compiles the multitude of available estimation techniques based on sex and age data, and presents these varying techniques in one organized, unified volume. Designed to guide researchers to the most appropriate estimator based upon their particular data set and the desired level of study precision, this book provides quantitative consideration, statistical models, estimator variance, assumptions and examples of use.The authors focus on estimation techniques using sex and age ratios because this data is relatively easy to collect and commonly used by wildlife
Contents:
Introduction
Primer on wildlife population dynamics
Estimating population sex ratios
Estimating productivity
Estimating survival
Estimating harvest and harvest mortality
Estimating the rate of population change
Analysis of population indices
Estimating population abundance
Integration of analytical techniques
Appendix A. Statistical concepts and theory
Appendix B. Glossary of symbols
Appendix C. Program USER
Appendix D. Mathematica code for calculating the variance of the finite rate of populations change, var([circumflex over lambda]), from a matrix population model.
Notes:
Description based upon print version of record.
Includes bibliographical references (p. [599]-627) and index.
ISBN:
1-280-62850-2
9786610628506
0-08-045512-3
OCLC:
469386075

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