Numerical and Statistical Methods for Bioengineering
eBook - PDF

Numerical and Statistical Methods for Bioengineering

Applications in MATLAB

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Numerical and Statistical Methods for Bioengineering

Applications in MATLAB

About this book

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.

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Yes, you can access Numerical and Statistical Methods for Bioengineering by Michael R. King,Nipa A. Mody in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Engineering General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Series-title
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. 1 Types and sources of numerical error
  9. 2 Systems of linear equations
  10. 3 Probability and statistics
  11. 4 Hypothesis testing
  12. 5 Root-finding techniques for nonlinear equations
  13. 6 Numerical quadrature
  14. 7 Numerical integration of ordinary differential equations
  15. 8 Nonlinear model regression and optimization
  16. 9 Basic algorithms of bioinformatics
  17. Appendix A: Introduction to MATLAB
  18. Appendix B: Location of nodes for Gauss–Legendre quadrature
  19. Index for MATLAB commands
  20. Index