000			03158cam a22003494a 4500
001			16286984
003			OSt
005			20150408114030.0
008			100616s2011 nyua b 001 0 eng
010			_a 2010025717
020			_a9780521871587 (hardback)
040			_aDLC _cDLC
042			_apcc
050	0	0	_aR857.M34 _bK56 2011
082	0	0	_a610.28 _222
100	1		_aKing, Michael R. _912852
245	1	0	_aNumerical and statistical methods for bioengineering : _bapplications in MATLAB / _cMichael R. King, Nipa A. Mody.
260			_aCambridge ; _aNew York : _bCambridge University Press, _c2011.
300			_axii, 581 p. : _bill. ; _c26 cm.
490	0		_aCambridge texts in biomedical engineering
504			_aIncludes bibliographical references and index.
505	8		_aMachine 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"--
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"--
630	0	0	_aMATLAB. _94913
650		0	_aBiomedical engineering _xStatistical methods. _912853
650		0	_aBiomedical engineering _xMathematics. _912854
700	1		_aMody, Nipa A. _912855
856	4	2	_3Cover image _uhttp://assets.cambridge.org/97805218/71587/cover/9780521871587.jpg
942			_2ddc _cBOOK
999			_c22809 _d257309