Randomization, Bootstrap and Monte Carlo Methods in Biology. ([2007])

• Record Type: Book
• Further Information: Note: Bryan F.J. Manly.
• Authors: Manly, Bryan F. J
• Contents: Cover; Half Title; Title Page; Copyright Page; Preface to the Third Edition; Preface to the Second Edition; Preface to the First Edition; Table of Contents; Chapter 1: Randomization; 1.1 The Idea of a Randomization Test; 1.2 Examples of Randomization Tests; 1.3 Aspects of Randomization Testing Raised by the Examples; 1.3.1 Sampling the Randomization Distribution or Systematic Enumeration; 1.3.2 Equivalent Test Statistics; 1.3.3 Significance Levels for Classical and Randomization Tests; 1.3.4 Limitations of Randomization Tests; 1.4 Confidence Limits by Randomization 1.5 Applications of Randomization in Biology and Related Areas1.5.1 Single Species Ecology; 1.5.2 Genetics, Evolution, and Natural Selection; 1.5.3 Community Ecology; 1.5.4 Other Environmental Applications; 1.6 Randomization and Observational Studies; 1.7 Chapter Summary; Chapter 2: The Jackknife; 2.1 The Jackknife Estimator; 2.2 Applications of Jackknifing in Biology; 2.2.1 Single-Species Analyses; 2.2.2 Genetics, Evolution, and Natural Selection; 2.2.3 Community Ecology; 2.3 Chapter Summary; Chapter 3: The Bootstrap; 3.1 Resampling with Replacement; 3.2 Standard Bootstrap Confidence Limits 3.3 Simple Percentile Confidence Limits3.4 Bias-Corrected Percentile Confidence Limits; 3.5 Accelerated Bias-Corrected Percentile Limits; 3.6 Other Methods for Constructing Confidence Intervals; 3.7 Transformations to Improve Bootstrap-t Intervals; 3.8 Parametric Confidence Intervals; 3.9 A Better Estimate of Bias; 3.10 Bootstrap Tests of Significance; 3.11 Balanced Bootstrap Sampling; 3.12 Applications of Bootstrapping in Biology; 3.12.1 Single-Species Ecology; 3.12.2 Genetics, Evolution, and Natural Selection; 3.12.3 Community Ecology; 3.12.4 Other Ecological and Environmental Applications 3.13 Further Reading3.14 Chapter Summary; Chapter 4: Monte Carlo Methods; 4.1 Monte Carlo Tests; 4.2 Generalized Monte Carlo Tests; 4.3 Implicit Statistical Models; 4.4 Applications of Monte Carlo Methods in Biology; 4.4.1 Single-Species Ecology; 4.4.2 Genetics and Evolution; 4.4.3 Community Ecology; 4.5 Chapter Summary; Chapter 5: Some General Considerations; 5.1 Questions about Computer-Intensive Methods; 5.2 Power; 5.3 Number of Random Sets of Data Needed for a Test; 5.4 Determining a Randomization Distribution Exactly; 5.5 The Number of Replications for Confidence Intervals 5.6 More Efficient Bootstrap Sampling Methods5.7 The Generation of Pseudo-Random Numbers; 5.8 The Generation of Random Permutations; 5.9 Chapter Summary; Chapter 6: One- and Two-Sample Tests; 6.1 The Paired Comparisons Design; 6.2 The One-Sample Randomization Test; 6.3 The Two-Sample Randomization Test; 6.4 Bootstrap Tests; 6.5 Randomizing Residuals; 6.6 Comparing the Variation in Two Samples; 6.7 A Simulation Study; 6.8 The Comparison of Two Samples on Multiple Measurements; 6.9 Further Reading; 6.10 Chapter Summary; Chapter 7: Analysis of Variance; 7.1 One-Factor Analysis of Variance
• Edition: Third edition
• Publisher Details: Boca Raton, FL : Chapman & Hall/CRC
• Publication Date: 2007
• Extent: 1 online resource
• Subjects: 570.15195; Biology -- Statistics; Mathematical statistics -- Data processing; Mathematical statistics; Biology; Mathematical statistics; Mathematical statistics -- Data processing; Electronic books; Statistics
• Languages: English
• ISBNs: 9781482296419; 1482296411
• Related ISBNs: 9781584885412; 1584885416
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.