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Analysis of covariance --- Multivariate analysis --- Statistics
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Professor Herschel Knapp offers an analysis approach to use when a potentially confounding variable mixes with the data set. This 8th chapter of the nursing statistics series focuses on how to run an ANCOVA test in SPSS.
Nursing --- Analysis of covariance. --- Research --- Statistical methods.
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Psychometrics. --- Monte Carlo method. --- Analysis of covariance.
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Analysis of covariance. --- Ergodic theory. --- Envelopes (Geometry)
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A þT consistent estimator of a heteroskedasticity and autocorrelation consistent covariance matrix estimator is proposed and evaluated. The relevant applications are ones in which the regression disturbance follows a moving average process of known order. In a system of þ equations, this `MA-þ' estimator entails estimation of the moving average coefficients of an þ-dimensional vector. Simulations indicate that the MA-þ estimator's finite sample performance is better than that of the estimators of Andrews and Monahan (1992) and Newey and West (1994) when cross-products of instruments and disturbances are sharply negatively autocorrelated, comparable or slightly worse otherwise.
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Analyse de variance. --- Analyse de covariance --- Analysis of variance --- Analysis of covariance.
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Analysis of covariance. --- Regression analysis. --- Analyse de la covariance --- Analyse de régression
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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.