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
74 Data Analysis and Statistics for Geography, Environmental Science, and Engineering
For practical purposes, it is the same to use u instead of 1 − u. So, rst generate u and then apply
the inverse x = −ln(u)/a.
A value z from a standard normal Z can be generated from two u
1
, u
2
numbers generated from
U(0,1) using
zuu
=−
cos( )ln( )
22
12
π
(3.40)
In R, a uniform RV can be in any range [a, b] directly by using runif(1,a,b). In addition, there are
a variety of functions for other distributions, such as the normal and the exponential. For example,
the normal of mean u and standard deviation s can be generated with rnorm(n,u,s) where n is the
number of ...
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