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Introduction to Robust Estimation and Hypothesis Testing (Hardcover, 4th edition)
Loot Price: R3,398
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Introduction to Robust Estimation and Hypothesis Testing (Hardcover, 4th edition)
Series: Statistical Modeling and Decision Science
Expected to ship within 12 - 17 working days
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Introduction to Robust Estimating and Hypothesis Testing, 4th
Editon, is a 'how-to' on the application of robust methods using
available software. Modern robust methods provide improved
techniques for dealing with outliers, skewed distribution curvature
and heteroscedasticity that can provide substantial gains in power
as well as a deeper, more accurate and more nuanced understanding
of data. Since the last edition, there have been numerous advances
and improvements. They include new techniques for comparing groups
and measuring effect size as well as new methods for comparing
quantiles. Many new regression methods have been added that include
both parametric and nonparametric techniques. The methods related
to ANCOVA have been expanded considerably. New perspectives related
to discrete distributions with a relatively small sample space are
described as well as new results relevant to the shift function.
The practical importance of these methods is illustrated using data
from real world studies. The R package written for this book now
contains over 1200 functions. New to this edition 35% revised
content Covers many new and improved R functions New techniques
that deal with a wide range of situations
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