Eugene Edgington, Patrick Onghena

Randomization Tests

• Broschiertes Buch

Produktbeschreibung

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

Produktdetails

• Verlag: CRC Press
• 4th edition
• Seitenzahl: 376
• Erscheinungstermin: 30. Juni 2020
• Englisch
• Abmessung: 234mm x 156mm x 20mm
• Gewicht: 517g
• ISBN-13: 9780367577711
• ISBN-10: 0367577712
• Artikelnr.: 74840699

Autorenporträt

Eugene Edgington, Patrick Onghena

Inhaltsangabe

Statistical Tests That Do Not Require Random Sampling. Randomized
Experiments. Calculating P-Values. Between-Subjects Designs. Factorial
Designs. Repeated-Measures and Randomized Block Designs. Multivariate
Designs. Correlation. Trend Tests. Matching and Proximity Experiments.
N-of-1 Designs. Tests of Quantitative Laws. Tests of Direction and
Magnitude of Effect. Fundamentals of Validity. General Guidelines and
Software Availability.

---

Statistical Tests That Do Not Require Random Sampling. Randomized Experiments. Calculating P-Values. Between-Subjects Designs. Factorial Designs. Repeated-Measures and Randomized Block Designs. Multivariate Designs. Correlation. Trend Tests. Matching and Proximity Experiments. N-of-1 Designs. Tests of Quantitative Laws. Tests of Direction and Magnitude of Effect. Fundamentals of Validity. General Guidelines and Software Availability.

Rezensionen

"...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