Skip to Main Content
Data Analysis and Statistics for Geography, Environmental Science, and Engineering
book

Data Analysis and Statistics for Geography, Environmental Science, and Engineering

by Miguel F. Acevedo
December 2012
Beginner content levelBeginner
557 pages
19h 5m
English
CRC Press
Content preview from Data Analysis and Statistics for Geography, Environmental Science, and Engineering
348 Data Analysis and Statistics for Geography, Environmental Science, and Engineering
and the following covariance matrices
S
1
0 010 0 008 0 018
0 008 0 160 0 020
0 018 0 020 0 194
=−
.. .
.. .
...

(10.60)
S
2
0 013 0 011 0 019
0 011 0 108 0 038
0 019 0 038 0 267
=
−−
...
.. .
.. .

(10.61)
We calculate the difference vector subtracting the means given in Equation 10.59
DX X==
[]
12
0.53 0.55 0.29−−
−−
(10.62)
and matrix of pooled variances using covariance matrices given in Equations 10.60 and 10.61 using
Equation 10.51
S
p
0.012 0.002 0.001
0.002 0.134 0.009
0.001 0.009 0.230
=
−−

(10.63)
Now we calculate the inverse
S
p
85.116 ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Applied Modeling Techniques and Data Analysis 1

Applied Modeling Techniques and Data Analysis 1

Yannis Dimotikalis, Alex Karagrigoriou, Christina Parpoula, Christos H. Skiadas
Geospatial Data and Analysis

Geospatial Data and Analysis

Aurelia Moser, Jon Bruner, Bill Day

Publisher Resources

ISBN: 9781439885017