Random Variables, Their Properties, and Deviational Ellipses: In Map Point and Excel, v 4.0

Roger L Goodwin

MPRA Paper from University Library of Munich, Germany

Abstract: This book is a practical reference guide accompanied with an Excel Workbook. This book gives an elementary introduction of the weighted standard deviational ellipse. This book also presents the computational aspects of the weighted exponential distributions as well. For the examples given, calculations are performed using VBA for Excel. This book makes comparisons (and shows the computations via VBA for Excel) using the likelihood functions with spatial data of the weighted ellipses. Lastly, the book covers spherical statistics. Throughout the text, the reader can see how to perform these difficult calculations and learn to adapt the code for his research.

Keywords: spatial; remote sensing; longitudinal data; statistics; weibull distribution; exponential distribution; weighted data; map point; google earth; weighted regression; ellipse; area; random variables; spherical statistics; VBA for Excel; mean center; eccentricity; axis length; rotation; weighted mean center; mean latitude; mean longitude; distribution fitting; spherical variance; eigenvalue; eigenvector (search for similar items in EconPapers)
JEL-codes: C46 (search for similar items in EconPapers)
Date: 2014-12-06, Revised 2015-04-17
New Economics Papers: this item is included in nep-ecm
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https://mpra.ub.uni-muenchen.de/64101/3/MPRA_paper_64101.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/64137/1/MPRA_paper_64137.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/64710/10/MPRA_paper_64710.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/64442/1/MPRA_paper_64137.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/64443/3/MPRA_paper_64443.pdf revised version (application/pdf)

Related works:
Working Paper: Random Variables, Their Properties, and Deviational Ellipses: In Map Point and Excel, v 4.0 (2015)
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