Numerical and statistical methods for bioengineering applications in MATLAB - King, Michael R.; Mody, Nipa A. (New York Cambridge University Press, 2011)
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.
Keywords: MATLAB; Biomedical engineering -- Statistical methods; Biomedical engineering -- Mathematics