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Stochastic Models In The Life Sciences And Their Methods Of Analysis (Hardcover)
Loot Price: R3,253
Discovery Miles 32 530
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Stochastic Models In The Life Sciences And Their Methods Of Analysis (Hardcover)
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'... the volume is impressively accessible. The result is a book
that is valuable and approachable for biologists at all levels,
including those interested in deepening their skills in
mathematical modeling and those who seek an overview to aid them in
communicating with collaborators in mathematics and statistics. The
former group of readers may especially appreciate the first
chapter, an introduction to key concepts in probability, and the
set of ten assignments provided as an appendix.'CHOICEBiological
processes are evolutionary in nature and often evolve in a noisy
environment or in the presence of uncertainty. Such evolving
phenomena are necessarily modeled mathematically by stochastic
differential/difference equations (SDE), which have been recognized
as essential for a true understanding of many biological phenomena.
Yet, there is a dearth of teaching material in this area for
interested students and researchers, notwithstanding the addition
of some recent texts on stochastic modelling in the life sciences.
The reason may well be the demanding mathematical pre-requisites
needed to 'solve' SDE.A principal goal of this volume is to provide
a working knowledge of SDE based on the premise that familiarity
with the basic elements of a stochastic calculus for random
processes is unavoidable. Through some SDE models of familiar
biological phenomena, we show how stochastic methods developed for
other areas of science and engineering are also useful in the life
sciences. In the process, the volume introduces to biologists a
collection of analytical and computational methods for research and
applications in this emerging area of life science. The additions
broaden the available tools for SDE models for biologists that have
been limited by and large to stochastic simulations.
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