logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques by Don Hong, Yu Shyr, Don Hong, Yu Shyr ISBN 9789812704610, 9812704612

  • SKU: EBN-1531776
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.6

34 reviews
Instant download (eBook) Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques after payment.
Authors:Don Hong, Yu Shyr, Don Hong, Yu Shyr
Pages:364 pages.
Year:2007
Editon:1
Publisher:World Scientific Pub Co (
Language:english
File Size:7.18 MB
Format:pdf
ISBNS:9789812704610, 9812704612
Categories: Ebooks

Product desciption

(Ebook) Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques by Don Hong, Yu Shyr, Don Hong, Yu Shyr ISBN 9789812704610, 9812704612

Quantitative biomedical data analysis is a fast-growing interdisciplinary area of applied and computational mathematics, statistics, computer science, and biomedical science, leading to new fields such as bioinformatics, biomathematics, and biostatistics. In addition to traditional statistical techniques and mathematical models using differential equations, new developments with a very broad spectrum of applications, such as wavelets, spline functions, curve and surface subdivisions, sampling, and learning theory, have found their mathematical home in biomedical data analysis. This book gives a new and integrated introduction to quantitative medical data analysis from the viewpoint of biomathematicians, biostatisticians, and bioinformaticians. It offers a definitive resource to bridge the disciplines of mathematics, statistics, and biomedical sciences. Topics include mathematical models for cancer invasion and clinical sciences, data mining techniques and subset selection in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic and proteomic data analysis, wavelet and spline applications for mass spectrometry data preprocessing and statistical computing.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products