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A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field. The author begins with a discussion of essential topics relating to experimental design and analysis

Mathematical statistics --- Analysis of covariance --- Analysis of covariance. --- Covariance analysis --- Statistical methods --- Quasi-experiments --- Single-case studies --- Regression analysis --- Regression analysis.