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.
