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Introductory Statistics and Random Phenomena - Uncertainty, Complexity and Chaotic Behavior in Engineering and Science (Paperback, 1st ed. 2017)
Loot Price: R3,948
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Introductory Statistics and Random Phenomena - Uncertainty, Complexity and Chaotic Behavior in Engineering and Science (Paperback, 1st ed. 2017)
Series: Modern Birkhauser Classics
Expected to ship within 10 - 15 working days
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This textbook integrates traditional statistical data analysis with
new computational experimentation capabilities and concepts of
algorithmic complexity and chaotic behavior in nonlinear dynamic
systems. This was the first advanced text/reference to bring
together such a comprehensive variety of tools for the study of
random phenomena occurring in engineering and the natural, life,
and social sciences. The crucial computer experiments are conducted
using the readily available computer program Mathematica (R)
Uncertain Virtual Worlds (TM) software packages which optimize and
facilitate the simulation environment. Brief tutorials are included
that explain how to use the Mathematica (R) programs for effective
simulation and computer experiments. Large and original real-life
data sets are introduced and analyzed as a model for independent
study. This is an excellent classroom tool and self-study guide.
The material is presented in a clear and accessible style providing
numerous exercises and bibliographical notes suggesting further
reading. Topics and Features Comprehensive and integrated treatment
of uncertainty arising in engineering and scientific phenomena -
algorithmic complexity, statistical independence, and nonlinear
chaotic behavior Extensive exercise sets, examples, and Mathematica
(R) computer experiments that reinforce concepts and algorithmic
methods Thorough presentation of methods of data compression and
representation Algorithmic approach to model selection and design
of experiments Large data sets and 13 Mathematica (R)-based
Uncertain Virtual Worlds (TM) programs and code This text is an
excellent resource for all applied statisticians, engineers, and
scientists who need to use modern statistical analysis methods to
investigate and model their data. The present, softcover reprint is
designed to make this classic textbook available to a wider
audience.
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