Sale!

Randomization, Bootstrap and Monte Carlo Methods in Biology 4th Edition – PDF ebook

Randomization, Bootstrap and Monte Carlo Methods in Biology
4th Edition – PDF ebook Copyright: 2021, Edition: 4th, Author: Bryan F.J. Manly; Jorge A. Navarro Alberto, Publisher: Chapman & Hall, Print ISBN: 9780367349943, etext ISBN: 9781000080544, Format: PDF

Original price was: $99.00.Current price is: $23.00.

Buy Randomization, Bootstrap and Monte Carlo Methods in Biology
4th Edition PDF ebook by author Bryan F.J. Manly; Jorge A. Navarro Alberto – published by Chapman & Hall in 2021 and save up to 80%  compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
You can search our site for other versions of the Randomization, Bootstrap and Monte Carlo Methods in Biology
4th Edition PDF ebook. You can also search for others PDF ebooks from publisher Chapman & Hall, as well as from your favorite authors. We have thousands of online textbooks and course materials (mostly in PDF) that you can download immediately after purchase.
Note: e-textBooks do not come with access codes, CDs/DVDs, workbooks, and other supplemental items.
eBook Details:

Full title: Randomization, Bootstrap and Monte Carlo Methods in Biology
4th Edition
Edition: 4th
Copyright year: 2021
Publisher: Chapman & Hall
Author: Bryan F.J. Manly; Jorge A. Navarro Alberto
ISBN: 9780367349943, 9781000080544
Format: PDF

Description of Randomization, Bootstrap and Monte Carlo Methods in Biology
4th Edition:
Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. Like its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization, bootstrapping, and Monte Carlo methods in constructing confidence intervals and doing tests of significance. The text provides comprehensive coverage of computer-intensive applications, with data sets available online. Features Presents an overview of computer-intensive statistical methods and applications in biology Covers a wide range of methods including bootstrap, Monte Carlo, ANOVA, regression, and Bayesian methods Makes it easy for biologists, researchers, and students to understand the methods used Provides information about computer programs and packages to implement calculations, particularly using R code Includes a large number of real examples from a range of biological disciplines Written in an accessible style, with minimal coverage of theoretical details, this book provides an excellent introduction to computer-intensive statistical methods for biological researchers. It can be used as a course text for graduate students, as well as a reference for researchers from a range of disciplines. The detailed, worked examples of real applications will enable practitioners to apply the methods to their own biological data.