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Numerical and Statistical Methods for Bioengineering Hardcover - 2010 - 1st Edition
by Michael R. King; Nipa A. Mody
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- Title Numerical and Statistical Methods for Bioengineering
- Author Michael R. King; Nipa A. Mody
- Binding Hardcover
- Edition number 1st
- Edition 1
- Pages 594
- Volumes 1
- Language ENG
- Publisher Cambridge University Press
- Date 2010-11-29
- Features Bibliography, Index, Table of Contents, Textbook
- ISBN 9780521871587 / 0521871581
- Weight 3.05 lbs (1.38 kg)
- Dimensions 10.2 x 8.3 x 1.5 in (25.91 x 21.08 x 3.81 cm)
- Library of Congress subjects Biomedical engineering - Mathematics, Biomedical engineering - Statistical methods
- Library of Congress Catalog Number 2010025717
- Dewey Decimal Code 610.28
Media reviews
Citations
- Choice, 08/01/2011, Page 0
- Reference and Research Bk News, 04/01/2011, Page 315
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Numerical and Statistical Methods for Bioengineering: Applications in MATLAB (Cambridge Texts in Biomedical Engineering)
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Numerical and Statistical Methods for Bioengineering: Applications in MATLAB (Cambridge Texts in Biomedical Engineering) Numerical and Statistical Methods for Bioengineering: Applications in MATLAB (Cambridge Texts in Biomedical Engineering) [Hardcover] King, Michael R. and Mody, Nipa A.
by King, Michael R. and Mody, Nipa A
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Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The first MATLAB-based numerical methods textbook specifically for bioengineers, including topics on hypothesis testing, plus numerous examples drawn exclusively from biomedical engineering applications. This is an ideal core text for o
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Numerical and Statistical Methods for Bioengineering: Applications in MATLAB (Cambridge Texts in Biomedical Engineering)
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Numerical and Statistical Methods for Bioengineering
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Numerical and Statistical Methods for Bioengineering: Applications in MATLAB by King, Michael R.
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ISBN: 9780521871587Cambridge University Press | 29 November 2010
Hardcover | 594 pages
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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