Robust Statistics for Spatial Analysis: The Bivariate Normal Home Range Model Applied to Synoptic Populations of Two Species of Ground Squirrels (Classic Reprint) - Softcover

J. W. Koeppl

 
9780243926770: Robust Statistics for Spatial Analysis: The Bivariate Normal Home Range Model Applied to Synoptic Populations of Two Species of Ground Squirrels (Classic Reprint)

Synopsis

This book is an essential resource for researchers and students interested in the robust statistical analysis of spatial data, particularly in the context of animal home ranges. It introduces several robust methods for computing home range parameters such as location, eccentricity, orientation, and size, based on bivariate, asymmetrical, iterative trims of the data. The methods have been tested on simulated data and home range data obtained from observations of ground squirrels. The book highlights the non-robust nature of existing bivariate normal home range models and the need for robust alternatives. It demonstrates the effectiveness of the proposed robust methods in minimizing the influence of outliers and providing more reliable estimates of home range parameters. The book contributes to the field of spatial analysis by providing practical and theoretically sound methods for robustly analyzing animal location data.

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Other Popular Editions of the Same Title

9780267726257: Robust Statistics for Spatial Analysis: The Bivariate Normal Home Range Model Applied to Synoptic Populations of Two Species of Ground Squirrels (Classic Reprint)

Featured Edition

ISBN 10:  0267726252 ISBN 13:  9780267726257
Publisher: Forgotten Books, 2018
Hardcover