Empirical Model Building / Wiley Series in Probability and Statistics (PDF)

Praise for the First Edition



"This...novel and highly stimulating book, which emphasizes
solving real problems...should be widely read. It will have a
positive and lasting effect on the teaching of modeling and
statistics in general." - Short Book Reviews

This new edition features developments and real-world
examples that showcase essential empirical modeling
techniques

Successful empirical model building is founded on the
relationship between data and approximate representations of the
real systems that generated that data. As a result, it is essential
for researchers who construct these models to possess the special
skills and techniques for producing results that are insightful,
reliable, and useful. Empirical Model Building: Data, Models,
and Reality, Second Edition presents a hands-on approach to the
basic principles of empirical model building through a shrewd
mixture of differential equations, computer-intensive methods, and
data. The book outlines both classical and new approaches and
incorporates numerous real-world statistical problems that
illustrate modeling approaches that are applicable to a broad range
of audiences, including applied statisticians and practicing
engineers and scientists.

The book continues to review models of growth and decay, systems
where competition and interaction add to the complextiy of the
model while discussing both classical and non-classical data
analysis methods. This Second Edition now features further coverage
of momentum based investing practices and resampling techniques,
showcasing their importance and expediency in the real world. The
author provides applications of empirical modeling, such as
computer modeling of the AIDS epidemic to explain why North America
has most of the AIDS cases in the First World and data-based
strategies that allow individual investors to build their own
investment portfolios. Throughout the book, computer-based analysis
is emphasized and newly added and updated exercises allow readers
to test their comprehension of the presented material.

Empirical Model Building, Second Edition is a suitable
book for modeling courses at the upper-undergraduate and
graduate levels. It is also an excellent reference for applied
statisticians and researchers who carry out quantitative modeling
in their everyday work.