Randomization, Bootstrap and Monte Carlo Methods in BiologyCRC Press, 3 de out. de 2018 - 480 páginas 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 Edition 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. |
Conteúdo
Randomization | 1 |
The Jackknife | 29 |
The Bootstrap | 41 |
Monte Carlo Methods | 81 |
Some General Considerations | 93 |
One and TwoSample Tests | 107 |
Analysis of Variance | 135 |
Regression Analysis | 169 |
Time Series | 261 |
Multivariate Data | 301 |
Survival and Growth Data | 325 |
Nonstandard Situations | 341 |
Bayesian Methods | 371 |
Final Comments | 381 |
References | 385 |
Appendix Software for ComputerIntensive Statistics | 435 |
Distance Matrices and Spatial Data | 203 |
Other Analyses on Spatial Data | 239 |
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Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition Bryan F.J. Manly Visualização parcial - 2006 |
Termos e frases comuns
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