03158cam a22003494a 4500 16286984 OSt 20150408114030.0 100616s2011 nyua b 001 0 eng 2010025717 9780521871587 (hardback) DLC DLC pcc R857.M34 K56 2011 610.28 22 King, Michael R. 12852 Numerical and statistical methods for bioengineering : applications in MATLAB / Michael R. King, Nipa A. Mody. Cambridge ; New York : 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"-- "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"-- MATLAB. 4913 Biomedical engineering Statistical methods. 12853 Biomedical engineering Mathematics. 12854 Mody, Nipa A. 12855 Cover image http://assets.cambridge.org/97805218/71587/cover/9780521871587.jpg ddc BOOK 22809 257309 0 2013-03-10 0 0 610.28 K M N 2012-05-09 CL 00086045 CL 2013-03-10 00:00:00 BOOK ddc 0 0 2013-03-10 0 0 610.28 K M N 2012-05-09 CL 00086046 CL 2013-03-10 00:00:00 BOOK ddc 0