Randomization Tests by Eugene Edgington
Building on the previous editions that have served as standard textbooks and references for more than twenty-five years, Randomization Tests, Fourth Edition describes the randomization test theory, clarifies the hypotheses being tested, and discusses the role of random assignment. This edition also features updated material on N-of-1 randomi-
Probability and Statistical Inference, Second Edition
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Handbook of Beta Distribution and Its Applications
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Statistical Inference Based on Divergence Measures
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Bayesian Biostatistics
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Item Response Theory
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Response Surfaces: Designs and Analyses
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Survey Sampling
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Advanced Linear Models
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Growth Curves
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Randomized Response and Indirect Questioning Techniques in Surveys
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Lognormal Distributions
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A Primer in Probability
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Analytical Methods for Risk Management
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Introduction to Spatial Econometrics
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Statistical Methods in Discrimination Litigation
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Mathematical Statistics With Applications
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The Inverse Gaussian Distribution
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Asymptotics, Nonparametrics, and Time Series
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Probability and Statistical Inference
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Handbook of Empirical Economics and Finance
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Random Processes
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Seemingly Unrelated Regression Equations Models
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Parameter Estimation in Reliability and Life Span Models
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Applied Regression Analysis and Experimental Design
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Robust Regression
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Statistics of Quality
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Statistical Methods for Engineers and Scientists
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Econometrics
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Regression Analysis of Survival Data in Cancer Chemotherapy
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Handbook of Parallel Computing and Statistics
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Multiple Comparisons, Selection and Applications in Biometry
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Introduction to Probability and Statistics
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Linear Least Squares Computations
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Sample Size Choice
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Bivariate Discrete Distributions
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The EM Algorithm and Related Statistical Models
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Statistics for the 21st Century
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Improving Efficiency by Shrinkage
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Bayesian Analysis of Linear Models
“…Overall, this is an interesting and well-written book that provides a useful discussion of the theory, design, and application of randomization tests, illustrated with appropriate examples using experimental dataThe end-of-chapter questions and exercises make it useful also as a textbook for college students. It should be of interest for every experimenter who is interested in randomization or permutation tests or is skeptical about the reliability of the assumptions of parametric tests.”
—Andreas Karlsson (Uppsala University), Journal of the Royal Statistical Society
“…Overall, this is an interesting and well-written book that provides a useful discussion of the theory, design, and application of randomization tests, illustrated with appropriate examples using experimental data. The end-of-chapter questions and exercises make it useful also as a textbook for college students. It should be of interest for every experimenter who is interested in randomization or permutation tests or is skeptical about the reliability of the assumptions of parametric tests.”
—Andreas Karlsson (Uppsala University), Journal of the Royal Statistical Society
"I believe Randomization Tests will be useful for those researchers who often work with data that are not compatible with the usual parametric assumptions (e.g., normality). In these cases, the permutation and randomization tests discussed in the text are more appropriate and more reliable."
– Michael Sherman, Texas A&M University, in Journal of the American Statistical Association, June 2009, Vol. 104, No. 486
Eugene Edgington, Patrick Onghena
| SKU | Unavailable |
| ISBN 13 | 9780367577711 |
| ISBN 10 | 0367577712 |
| Title | Randomization Tests |
| Author | Eugene Edgington |
| Series | Statistics: A Series Of Textbooks And Monographs |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2020-06-30 |
| Number of pages | 376 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |