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Large sample covariance matrices and high-dimensional data analysis
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ISBN: 1107065178 9781107065178 Year: 2015 Publisher: New York: Cambridge university press,

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Reminder about potentially serious problems with a type of blocked ANOVA analysis
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Year: 2017 Publisher: Madison, WI : United States Department of Agriculture, Forest Service, Forest Products Laboratory,

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Spatial statistics and spatio-temporal data : covariance functions and directional properties.
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ISBN: 9780470699584 Year: 2011 Publisher: Chichester John Wiley and Sons, Ltd

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ANCOVA.
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ISBN: 9781506359168 Year: 2017 Publisher: Thousand Oaks, United States : SAGE Publications, Inc.,

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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.


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An empirical investigation of the effect of the heteroscedasticity and heterogeneity variance on the analysis of covariance and the Johnson-Neyman technique
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Year: 1978 Publisher: Alexandria , VA : U. S. Army Research Institute for the Behavioral and Social Sciences,

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Relationship between complex-and envelope-covariance for Rician fading communication channels
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Year: 1968 Publisher: Washington, D.C. : National Aeronautics and Space Administration,

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Another Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator
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Year: 1995 Publisher: Cambridge, Mass. National Bureau of Economic Research

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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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Calculation and interpretation of analysis of variance and covariance
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Year: 1934 Publisher: Ames, Iowa : Collegiate Press,

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Analysis of covariance and comparison of regression lines
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ISBN: 0902246992 Year: 1979 Publisher: Norwich : Geo Abstracts,

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The analysis of covariance and alternatives : statistical methods for experiments, quasi-experiments, and single-case studies
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ISBN: 9780471748960 047174896X 9781118067475 1118067479 9781118067451 1118067452 9781118067468 1118067460 1283332094 9786613332097 Year: 2011 Publisher: Hoboken, N.J. Wiley

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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

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