Numerical and Statistical Methods for Bioengineering - Applications in MATLAB (Instructor Solution Manual, Solutions)

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[ TutGator.com ] Numerical and Statistical Methods for Bioengineering - Applications in MATLAB (Instructor Solution Manual, Solutions)
  • Get Bonus Downloads Here.url (0.2 KB)
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    • Bonus Resources.txt (0.4 KB)
      • MATLAB_problems_and_data_sets Chapter1_online_m_dat_files
      • Box 1_1B_oxygen_transport.m (2.0 KB)
      • Box1_7_relative_error.m (1.3 KB)
      • MATLABProgram1_1.m (0.5 KB)
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      Chapter2_online_m_dat_files
      • Gaussianbasic.m (0.7 KB)
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      Chapter3_online_m_dat_files
      • Box3.9_leptin_metabolism.m (2.6 KB)
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      • Box4_8and4_9_mountain_climbing.m (1.8 KB)
      Chapter5_online_m_dat_files
      • FahraeusLindquistExample.m (1.7 KB)
      • ReceptorLigandEqbmBinding.m (0.6 KB)
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      Chapter7_online_m_dat_files
      • HIVODE.m (0.3 KB)
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      Chapter8_online_m_dat_files
      • MATLABProgram8_14.m (1.1 KB)
      • MATLABProgram8_16.m (1.2 KB)
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      • PixelSSE.m (0.4 KB)
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      Chapter9_online_m_dat_files
      • MATLABProgram9_1.m (1.7 KB)
    • NOTES.txt (0.0 KB)
      • Solutions
      • Chapter_1.pdf (85.1 KB)
      • Chapter_2.pdf (174.4 KB)
      • Chapter_3.pdf (148.5 KB)
      • Chapter_4.pdf (122.7 KB)
      • Chapter_5.pdf (98.9 KB)
      • Chapter_6.pdf (140.8 KB)
      • Chapter_7.pdf (64.1 KB)
      • Chapter_8.pdf (69.6 KB)
      • Chapter_9.pdf (105.4 KB)

Description

Numerical and Statistical Methods for Bioengineering: Applications in MATLAB (Instructor Solution Manual, Solutions)



https://TutGator.com

English | 128 pages | 2010 | 0521871581 | PDF | 1 MB

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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Numerical and Statistical Methods for Bioengineering - Applications in MATLAB (Instructor Solution Manual, Solutions)

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