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Numerical and statistical methods fo...

Mody, Nipa A.

Numerical and statistical methods for bioengineering : = applications in MATLAB /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Numerical and statistical methods for bioengineering :/ Michael R. King, Nipa A. Mody.
Reminder of title:	applications in MATLAB /
Author:	King, Michael R.
other author:	Mody, Nipa A.
Published:	Cambridge ;Cambridge University Press, : 2011.,
Description:	xii, 581 p. :ill. ; : 26 cm.;
Subject:	Biomedical engineering - Statistical methods. -
ISBN:	9780521871587 (Cloth) :

Numerical and statistical methods for bioengineering : = applications in MATLAB /
King, Michael R.

Numerical and statistical methods for bioengineering :applications in MATLAB /Michael R. King, Nipa A. Mody. - Cambridge ;Cambridge University Press,2011. - xii, 581 p. :ill. ;26 cm. - Cambridge texts in biomedical engineering..

Includes bibliographical references and index.

Machine generated contents note: 1. Types and sources of numerical error; 2. Systems of linear equations; 3. Statistics and probability; 4. Hypothesis testing; 5. Root finding techniques for nonlinear equations; 6. Numerical quadrature; 7. Numerical integration of ordinary differential equations; 8. Nonlinear data regression and optimization; 9. Basic algorithms of bioinformatics; Appendix A. Introduction to MATLAB; Appendix B. Location of nodes for Gauss-Legendre quadrature.

"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"--

ISBN: 9780521871587 (Cloth) :NT3467

LCCN: 2010025717Subjects--Topical Terms:

598267
Biomedical engineering
--Statistical methods.

LC Class. No.: R857.M34 / K56 2011

Dewey Class. No.: 610.28

Numerical and statistical methods for bioengineering : = applications in MATLAB /
LDR:02639cam a2200205 a 4500 001 682554
008 111125s2011 nyua b 001 0 eng
010 $a 2010025717
020 $a 9780521871587 (Cloth) : $c NT3467
035 $a lc16286984
040 $a DLC $c DLC $c NFU
050 0 0 $a R857.M34 $b K56 2011
082 0 0 $a 610.28 $2 22
100 1 $a King, Michael R. $3 795449
245 1 0 $a Numerical and statistical methods for bioengineering : $b applications in MATLAB / $c Michael R. King, Nipa A. Mody.
260 $a Cambridge ; $a New York : $c 2011. $b Cambridge University Press,
300 $a xii, 581 p. : $b ill. ; $c 26 cm.
490 0 $a Cambridge texts in biomedical engineering.
504 $a Includes bibliographical references and index.
505 8 $a Machine generated contents note: 1. Types and sources of numerical error; 2. Systems of linear equations; 3. Statistics and probability; 4. Hypothesis testing; 5. Root finding techniques for nonlinear equations; 6. Numerical quadrature; 7. Numerical integration of ordinary differential equations; 8. Nonlinear data regression and optimization; 9. Basic algorithms of bioinformatics; Appendix A. Introduction to MATLAB; Appendix B. Location of nodes for Gauss-Legendre quadrature.
520 $a "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"-- $c Provided by publisher.
520 $a "Cambridge Texts in Biomedical Engineering provides a forum for high-quality accessible textbooks targeted at undergraduate and graduate courses in biomedical engineering. It will cover a broad range of biomedical engineering topics from introductory texts to advanced topics including, but not limited to, biomechanics, physiology, biomedical instrumentation, imaging, signals and systems, cell engineering, and bioinformatics. The series will blend theory and practice, aimed primarily at biomedical engineering students but will be suitable for broader courses in engineering, the life sciences and medicine"-- $c Provided by publisher.
650 0 $a Biomedical engineering $x Statistical methods. $3 598267
650 0 $a Biomedical engineering $x Mathematics. $3 680702
700 1 $a Mody, Nipa A. $3 795450