Results 251 to 260 of about 2,137,261 (292)

Statistical tests as linear models

2022
This chapter examines the R implementations of statistical tests commonly taught in introductory statistics courses. Statistical tests have been developed by different people at different times. Such tests include the t-test and the Analysis of Variance (ANOVA).
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Applied Linear Statistical Models

Journal of the American Statistical Association, 2008
(2008). Applied Linear Statistical Models. Journal of the American Statistical Association: Vol. 103, No. 482, pp. 880-880.
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Statistics: general linear models (a flexible approach)

Journal of Small Animal Practice, 2014
This article moves on to discuss a type of statistical testing different from those we have discussed previously, namely a General Linear Model. This system incorporates a number of other statistical models and is a powerful tool used widely in modern statistics.
M, Scott, D, Flaherty, J, Currall
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Bivariate Statistics and Linear Models

2010
So far we’ve been studying univariate statistics; for example, for each individual in a population, we take a single measurement, height, age, etc. We combine these into a sample and compute a statistic: mean, variance, or some function of the variance. Now we consider the scenario where, for each individual in a population, we have two values: age and
Shravan Vasishth, Michael Broe
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An Introduction to Linear Statistical Models

Technometrics, 1964
(1964). An Introduction to Linear Statistical Models. Technometrics: Vol. 6, No. 1, pp. 107-111.
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Multivariate Statistical Modelling Based on Generalized Linear Models

Technometrics, 2002
(2002). Multivariate Statistical Modelling Based on Generalized Linear Models. Technometrics: Vol. 44, No. 1, pp. 94-94.
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Statistical Mechanics of the Anisotropic Linear Heisenberg Model

Physical Review, 1962
The anisotropic Hamiltonian, $H=\ensuremath{-}\frac{1}{2}\ensuremath{\Sigma}({J}_{x}{{\ensuremath{\sigma}}_{l}}^{x}{{\ensuremath{\sigma}}_{l+1}}^{x}+{J}_{y}{{\ensuremath{\sigma}}_{l}}^{y}{{\ensuremath{\sigma}}_{l+1}}^{y}+{J}_{z}{{\ensuremath{\sigma}}_{l}}^{z}{{\ensuremath{\sigma}}_{l+1}}^{z})\ensuremath{-}m\mathcal{H}\ensuremath{\Sigma}{{\ensuremath ...
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Linear Statistical Models

Journal of Quality Technology, 1997
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Linear Models in Statistics

2007
Alvin C. Rencher, G. Bruce Schaalje
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Linear Statistical Models: An Applied Approach.

Journal of the American Statistical Association, 1991
Eric R. Ziegel, Bruce Bowerman, Richard O'Connell   +2 more
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