Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with an emphasis on biological applications.
This textbook focuses on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference. The author emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, the book shows how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals.
New to the Third EditionUpdated information on regression and time series analysis, multivariate methods, survival and growth data as well as software for computational statistics
References that reflect recent developments in methodology and computing techniques
Additional references on new applications of computer-intensive methods in biology
Providing comprehensive coverage of computer-intensive applications while also offering data sets online, Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition supplies a solid foundation for the ever-expanding field of statistics and quantitative analysis in biology.
- ISBN13 9781351992442
- Publish Date 3 October 2018 (first published 22 November 1990)
- Publish Status Out of Print
- Out of Print 12 March 2022
- Publish Country GB
- Publisher Taylor & Francis Ltd
- Imprint Chapman and Hall
- Edition 3rd edition
- Format eBook
- Pages 480
- Language English