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Wildlife Demography: Analysis of Sex, Age, and Count Data
Contributor(s): Skalski, John R. (Author), Ryding, Kristin E. (Author), Millspaugh, Joshua (Author)
ISBN: 0120887738     ISBN-13: 9780120887736
Publisher: Academic Press
OUR PRICE:   $94.00  
Product Type: Hardcover - Other Formats
Published: October 2005
Qty:
Annotation: 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 management
* Applicable to a wide array of wildlife species, including game and non-game birds and mammals
* Features more than 100 annotated examples illustrating application of statistical methods
* Includes more than 640 references of the analysis of nontagging data and the factors that may influence interpretation
* Derives historical and "ad hoc" demographic methods in a modern statistical framework
Additional Information
BISAC Categories:
- Science | Life Sciences - Ecology
- Science | Life Sciences - Biological Diversity
- Science | Life Sciences - Zoology - General
Dewey: 591.788
LCCN: 2006531077
Physical Information: 1.3" H x 7.54" W x 10.34" (3.44 lbs) 656 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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 management.