×


 x 

Shopping cart
Peter J. Costa - Applied Mathematics for the Analysis of Biomedical Data - 9781119269496 - V9781119269496
Stock image for illustration purposes only - book cover, edition or condition may vary.

Applied Mathematics for the Analysis of Biomedical Data

€ 139.21
FREE Delivery in Ireland
Description for Applied Mathematics for the Analysis of Biomedical Data Hardback. Num Pages: 448 pages, illustrations. BIC Classification: MB; PBW. Category: (G) General (US: Trade). Weight in Grams: 666.

Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualization, and evaluation of experimental and real-life data

Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® presents a practical approach to the task that biological scientists face when analyzing data. The primary focus is on the application of mathematical models and scientific computing methods to provide insight into the behavior of biological systems. The author draws upon his experience in academia, industry, and government–sponsored research as well as his expertise in MATLAB to produce a ... Read more

In addition, the author uses his professional experiences to present unique case studies whose analyses provide detailed insights into biological systems and the problems inherent in their examination. The book contains a well-developed and tested set of MATLAB functions that act as a general toolbox for practitioners of quantitative biology and biostatistics. This combination of MATLAB functions and practical tips amplifies the book’s technical merit and value to industry professionals.

Through numerous examples and sample code blocks, the book provides readers with illustrations of MATLAB programming. Moreover, the associated toolbox permits readers to engage in the process of data analysis without needing to delve deeply into the mathematical theory. This gives an accessible view of the material for readers with varied backgrounds. As a result, the book provides a streamlined framework for the development of mathematical models, algorithms, and the corresponding computer code.

In addition, the book features:

  • Real–world computational procedures that can be readily applied to similar problems without the need for keen mathematical acumen
  • Clear delineation of topics to accelerate access to data analysis
  • Access to a book companion website containing the MATLAB toolbox created for this book, as well as a Solutions Manual with solutions to selected exercises

Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® is an excellent textbook for students in mathematics, biostatistics, the life and social sciences, and quantitative, computational, and mathematical biology. This book is also an ideal reference for industrial scientists, biostatisticians, product development scientists, and practitioners who use mathematical models of biological systems in biomedical research, medical device development, and pharmaceutical submissions.

Show Less

Product Details

Format
Hardback
Publication date
2017
Publisher
John Wiley & Sons Inc United States
Number of pages
448
Condition
New
Number of Pages
448
Place of Publication
New York, United States
ISBN
9781119269496
SKU
V9781119269496
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Peter J. Costa
PETER J. COSTA, PhD, is Senior Applied Mathematician at Hologic Incorporated in Marlborough, MA. Dr. Costa is the co-creator of MATLAB's Symbolic Math Toolbox. He has developed mathematical models for the spread of HIV, the outbreak of AIDS, the transmission of an infectious respiratory disease throughout a population, and the diagnosis of cervical cancer. His research interests include scientific computing ... Read more

Reviews for Applied Mathematics for the Analysis of Biomedical Data

Goodreads reviews for Applied Mathematics for the Analysis of Biomedical Data


Subscribe to our newsletter

News on special offers, signed editions & more!