【过程的随机性，Springer 应用统计】Stochasticity in Processes (2016) [推广有奖]

Stochasticity in Processes
Fundamentals and Applications to Chemistry and Biology

Authors: Peter Schuster

2016-10-18 02:49:25 上传

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Authored by a leading scientist in the field

Course-based, self-contained introduction to the subject matter

Modular presentation, contains case studies and detailed derivation of results

This book has developed over the past fifteen years from a modern course on stochastic chemical kinetics for graduate students in physics, chemistry and biology. The first part presents a systematic collection of the mathematical background material needed to understand probability, statistics, and stochastic processes as a prerequisite for the increasingly challenging practical applications in chemistry and the life sciences examined in the second part.

Recent advances in the development of new techniques and in the resolution of conventional experiments at nano-scales have been tremendous: today molecular spectroscopy can provide insights into processes down to scales at which current theories at the interface of physics, chemistry and the life sciences cannot be successful without a firm grasp of randomness and its sources. Routinely measured data is now sufficiently accurate to allow the direct recording of fluctuations. As a result, the sampling of data and the modeling of relevant processes are doomed to produce artifacts in interpretation unless the observer has a solid background in the mathematics of limited reproducibility.

The material covered is presented in a modular approach, allowing more advanced sections to be skipped if the reader is primarily interested in applications. At the same time, most derivations of analytical solutions for the selected examples are provided in full length to guide more advanced readers in their attempts to derive solutions on their own. The book employs uniform notation throughout, and a glossary has been added to define the most important notions discussed.

Table of contents

Front Matter

Probability
Pages 1-81

Distributions, Moments, and Statistics
Pages 83-197

Stochastic Processes
Pages 199-346

Applications in Chemistry
Pages 347-568

Applications in Biology
Pages 569-677

Back Matter
Pages 679-718

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