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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
95
4
Exploratory Analysis
and Introduction to
Inferential Statistics
4.1 EXPLORATORY DATA ANALYSIS (EDA)
Classical parametric statistical inference depends on outlier-free and nearly Gaussian data. Before
applying these inferential methods, it is a good idea to explore the data and see if they conform to
the assumptions (MathSoft, 1999, pp. 3-6–3-8 and 3-14–3-15). One way of accomplishing this is by
visual inspection of several plots. Because it is a rst look at the data, we can refer to this process as
exploratory, thus the term exploratory data analysis (EDA); in other words, use graphs to check the
assumptions before proceeding to formal a ...
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Publisher Resources

ISBN: 9781439885017