Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
- ISBN: 9781584885412 | 1584885416
- Cover: Hardcover
- Copyright: 8/15/2006
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. It has been updated to reflect developments in methodology, computing, and applications and features extensively revised chapters on bootstrap and Monte Carlo methods that incorporate many new applications. The author also includes new information on time series, multivariate, survival, and growth data and provides an expanded appendix on software for computational statistics.
Chapter 1 Randomization | 1 | (28) | |||
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Chapter 2 The Jackknife | 29 | (12) | |||
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Chapter 3 The Bootstrap | 41 | (40) | |||
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Chapter 4 Monte Carlo Methods | 81 | (12) | |||
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Chapter 5 Some General Considerations | 93 | (14) | |||
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Chapter 6 One- and Two-Sample Tests | 107 | (28) | |||
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Chapter 7 Analysis of Variance | 135 | (34) | |||
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Chapter 8 Regression Analysis | 169 | (34) | |||
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Chapter 9 Distance Matrices and Spatial Data | 203 | (36) | |||
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Chapter 10 Other Analyses on Spatial Data | 239 | (22) | |||
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Chapter 11 Time Series | 261 | (40) | |||
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Chapter 12 Multivariate Data | 301 | (24) | |||
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Chapter 13 Survival and Growth Data | 325 | (16) | |||
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Chapter 14 Nonstandard Situations | 341 | (30) | |||
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Chapter 15 Bayesian Methods | 371 | (10) | |||
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Chapter 16 Final Comments | 381 | (4) | |||
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References | 385 | (50) | |||
Appendix Software for Computer-Intensive Statistics | 435 | (4) | |||
Author Index | 439 | (10) | |||
Subject Index | 449 |
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