Results 241 to 250 of about 2,119,441 (264)

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 Analysis and Linear Models

2020
In Chapter 3, we explored the graph and map tasks. In Chapter 4, we will explore statistics and linear models.
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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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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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A linear model of intermediate statistics

Journal of Physics A: Mathematical and General, 1997
Approximate Hamiltonians for the one-dimensional Calogero and two-dimensional anyon models in a harmonic well are constructed. In both models the particles interpolate between bosons and fermions. The article focuses on the remarkable properties of the solution of the Calogero model to first order in perturbation theory.
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Reformulating Classical Linear Statistical Models

1988
The problematic points in Chapter 1 can be reduced to a single issue, namely that inferential problems arise when statistical analyses are carried out on spatial data series having dependent observations. As Chapter 2 has suggested, this is a more trouble-some issue than its counterpart found in time series, because spatial interdependencies are both ...
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Chapter 4: Linear statistical models

2007
Contents 4.1. The Classical Linear Model 4.2. More About the Gauss-Markov Theorem 4.3.
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Linear Statistical Models

Journal of Quality Technology, 1997
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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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Multivariate Statistical Modelling Based on Generalized Linear Models.

Journal of the American Statistical Association, 1995
Jeffrey Glosup, L. Fahrmeir, G. Tutz
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