Results 261 to 270 of about 590,268 (302)

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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Statistical Inference in Linear Models

Technometrics, 1988
Statistical problems in modelling causal relationships estimating linear parameters estimating linear parameters using additional information admissibility and improvements of the generalized least squares estimator testing linear hypotheses confidence regions for linear parameters and regression functions Bayesian methods and structural inference ...
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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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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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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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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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