Signatur:
AWI S2-18-91500
Materialart:
Monographie ausleihbar
Seiten:
455 S.
,
graph. Darst.
Ausgabe:
3. ed.
ISBN:
1584885416 (hbk.)
,
9781584885412 (hbk.)
Serie:
Texts in statistical science
URL:
http://www.loc.gov/catdir/enhancements/fy0661/2006047407-d.html
Sprache:
Englisch
Anmerkung:
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 Areas. -
1.5.1 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 Limits. -
3.4 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 Reading. -
3.14 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 Methods. -
5.7 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. -
7.2 Tests for Constant Variance. -
7.3 Testing for Mean Differences Using Residuals. -
7.4 Examples of More Complicated Types of Analysis of Variance. -
7.5 Procedures for Handling Unequal Variances. -
7.6 Other Aspects of Analysis of Variance. -
7.7 Further Reading. -
7.8 Chapter Summary. -
Chapter 8 Regression Analysis. -
8.1 Simple Linear Regression. -
8.2 Randomizing Residuals. -
8.3 Testing for a Nonzero β Value. -
8.4 Confidence Limits for β. -
8.5 Multiple Linear Regression. -
8.6 Alternative Randomization Methods with Multiple Regression. -
8.7 Bootstrapping and Jackknifing with Regression. -
8.8 Further Reading. -
8.9 Chapter Summary. -
Chapter 9 Distance Matrices and Spatial Data. -
9.1 Testing for Association between Distance Matrices. -
9.2 The Mantel Test. -
9.3 Sampling the Randomization Distribution. -
9.4 Confidence Limits for Regression Coefficients. -
9.5 The Multiple Mantel Test. -
9.6 Other Approaches with More Than Two Matrices. -
9.7 Further Reading. -
9.8 Chapter Summary. -
Chapter 10 Other Analyses on Spatial Data. -
10.1 Spatial Data Analysis. -
10.2 The Study of Spatial Point Patterns. -
10.3 Mead's Randomization Test. -
10.4 Tests for Randomness Based on Distances. -
10.5 Testing for an Association between Two Point Patterns. -
10.6 The Besag-Diggle Test. -
10.7 Tests Using Distances between Points. -
10.8 Testing for Random Marking. -
10.9 Further Reading. -
10.10 Chapter Summary. -
Chapter 11 Time Series. -
11.1 Randomization and Time Series. -
11.2 Randomization Tests for Serial Correlation. -
11.3 Randomization Tests for Trend. -
11.4 Randomization Tests for Periodicity. -
11.5 Irregularly Spaced Series. -
11.6 Tests on Times of Occurrence. -
11.7 Discussion on Procedures for Irregular Series. -
11.8 Bootstrap Methods. -
11.9 Monte Carlo Methods. -
11.10 Model-Based vs. Moving-Block Resampling. -
11.11 Further Reading. -
11.12 Chapter Summary. -
Chapter 12 Multivariate Data. -
12.1 Univariate and Multivariate Tests. -
12.2 Sample Mean Vectors and Covariance Matrices. -
12.3 Comparison of Sample Mean Vectors. -
12.4 Chi-Squared Analyses for Count Data. -
12.5 Comparison of Variations for Several Samples. -
12.6 Principal Components Analysis and Other One-Sample Methods. -
12.7 Discriminant Function Analysis. -
12.8 Further Reading. -
12.9 Chapter Summary. -
Chapter 13 Survival and Growth Data. -
13.1 Bootstrapping Survival Data. -
13.2 Bootstrapping for Variable Selection. -
13.3 Bootstrapping for Model Selection. -
13.4 Group Comparisons. -
13.5 Growth Data. -
13.6 Further Reading. -
13.7 Chapter Summary. -
Chapter 14 Nonstandard Situations. -
14.1 The Construction of Tests in Nonstandard Situations. -
14.2 Species Co-Occurrences on Islands. -
14.3 Alternative Switching Algorithms. -
14.4 Examining Time Changes in Niche Overlap. -
14.5 Probing Multivariate Data with Random Skewers. -
14.6 Ant Species Sizes in Europe. -
14.7 Chapter Summary. -
Chapter 15 Bayesian Methods. -
15.1 The Bayesian Approach to Data Analysis. -
15.2 The Gibbs Sampler and Related Methods. -
15.3 Biological Applications. -
15.4 Further Reading. -
15.5 Chapter Summary. -
Chapter 16 Final Comments. -
16.1 Randomization. -
16.2 Bootstrapping. -
16.3 Monte Carlo Methods in General. -
16.4 Classical vs. Bayesian Inference. -
References. -
Appendix Software for Computer-Intensive Statistics. -
Author Index. -
Subject Index.
Standort:
AWI Lesesaal
Zweigbibliothek:
AWI Bibliothek
Permalink