From Elementary Probability to Stochastic Differential Equations with MAPLEĀ® /

The authors provide a fast introduction to probabilistic and statistical concepts necessary to understand the basic ideas and methods of stochastic differential equations. The book is based on measure theory which is introduced as smoothly as possible. It is intended for advanced undergraduate stude...

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Bibliographic Details
Main Author: Cyganowski, Sasha
Corporate Author: SpringerLink (Online service)
Other Authors: Kloeden, Peter, Ombach, Jerzy
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint : Springer, 2002.
Series:Universitext, 0172-5939
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:The authors provide a fast introduction to probabilistic and statistical concepts necessary to understand the basic ideas and methods of stochastic differential equations. The book is based on measure theory which is introduced as smoothly as possible. It is intended for advanced undergraduate students or graduates, not necessarily in mathematics, providing an overview and intuitive background for more advanced studies as well as some practical skills in the use of MAPLE in the context of probability and its applications. Although this book contains definitions and theorems, it differs from conventional mathematics books in its use of MAPLE worksheets instead of formal proofs to enable the reader to gain an intuitive understanding of the ideas under consideration. As prerequisites the authors assume a familiarity with basic calculus and linear algebra, as well as with elementary ordinary differential equations and, in the final chapter, simple numerical methods for such ODEs. Although statistics is not systematically treated, they introduce statistical concepts such as sampling, estimators, hypothesis testing, confidence intervals, significance levels and p-values and use them in a large number of examples, problems and simulations.
Item Description:Electronic resource.
Physical Description:1 online resource (XVI, 310 pages)
ISBN:9783642561443 (electronic bk.)
3642561446 (electronic bk.)