Mardigian Library
Ask a QuestionMy Library Account
Search Library Catalog - Books, DVDs & More
Limit to available
More Searches
Limit results to available items
Find more results:
Search MelCat
More Information
King, Michael R
Numerical and statistical methods for bioengineering : applications in MATLAB / Michael R. King and Nipa A. Mody
Cambridge ; New York : Cambridge University Press, 2011
book jacket
Location Call Number Status
 4th Floor  R857.M34 K56 2011    AVAILABLE
Subject(s) Biomedical engineering -- Statistical methods
Biomedical engineering -- Mathematics
Subject MATLAB
Physical Description xii, 581 p. : ill. ; 26 cm
Note Includes bibliographical references and indexes
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"-- Provided by publisher
"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"-- Provided by publisher
Note 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
Series Cambridge texts in biomedical engineering
Alternate Author Mody, Nipa A., 1973-

Mardigian Library, 4901 Evergreen Rd.
Dearborn, MI 48128-1491 313-593-5400 fax 313-593-5561
The Regents of the University of Michigan | Non-Discrimination Policy
Copyright © The University of Michigan - Dearborn • 4901 Evergreen Road • Dearborn, Michigan 48128 • 313-593-5000
The University of Michigan - Ann Arbor | The University of Michigan - Flint | SITEMAP | DIRECTORY | CONTACT