Numerical and Statistical Methods for Bioengineering

Applications in MATLAB

Nonfiction, Science & Nature, Technology, Engineering, Health & Well Being, Medical
Cover of the book Numerical and Statistical Methods for Bioengineering by Michael R. King, Nipa A. Mody, Cambridge University Press
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Author: Michael R. King, Nipa A. Mody ISBN: 9781107486683
Publisher: Cambridge University Press Publication: November 4, 2010
Imprint: Cambridge University Press Language: English
Author: Michael R. King, Nipa A. Mody
ISBN: 9781107486683
Publisher: Cambridge University Press
Publication: November 4, 2010
Imprint: Cambridge University Press
Language: English

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.

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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.

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