Numerical and Statistical Methods for Bioengineering

This book PDF is perfect for those who love Technology & Engineering genre, written by Michael R. King and published by Cambridge University Press which was released on 04 November 2010 with total hardcover pages 594. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Numerical and Statistical Methods for Bioengineering books below.

Numerical and Statistical Methods for Bioengineering
Author : Michael R. King
File Size : 52,8 Mb
Publisher : Cambridge University Press
Language : English
Release Date : 04 November 2010
ISBN : 1139493426
Pages : 594 pages
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Numerical and Statistical Methods for Bioengineering by Michael R. King Book PDF Summary

The first MATLAB-based numerical methods textbook for bioengineers that uniquely integrates modelling concepts with statistical analysis, while maintaining a focus on enabling the user to report the error or uncertainty in their result. Between traditional numerical method topics of linear modelling concepts, nonlinear root finding, and numerical integration, chapters on hypothesis testing, data regression and probability are interweaved. A unique feature of the book is the inclusion of examples from clinical trials and bioinformatics, which are not found in other numerical methods textbooks for engineers. With a wealth of biomedical engineering examples, case studies on topical biomedical research, and the inclusion of end of chapter problems, this is a perfect core text for a one-semester undergraduate course.

Numerical and Statistical Methods for Bioengineering

The first MATLAB-based numerical methods textbook for bioengineers that uniquely integrates modelling concepts with statistical analysis, while maintaining a focus on enabling the user to report the error or uncertainty in their result. Between traditional numerical method topics of linear modelling concepts, nonlinear root finding, and numerical integration, chapters on

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Numerical and Statistical Methods for Bioengineering

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