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Can I read The Theory of Linear Models and Multivariate Analysis (Wiley Series in Probability and Statistics) on EtoBox?
The Theory of Linear Models and Multivariate Analysis (Wiley Series in Probability and Statistics) by Steven F. Arnold. is a nonfiction available to read on EtoBox.
What is The Theory of Linear Models and Multivariate Analysis (Wiley Series in Probability and Statistics) about?
Basic statistical definitions and theorems. Subspaces and projections. Properties of the multivariate and spherical normal distributions. Introduction to linear models. A sufficient statistic. Estimation. Tests about the mean. Simultaneous confidence intervals - scheffe type. Tests about the variance. Asymptotic validity of procedures under nonnormal distributions. James-Stein and Ridge estimators. Inference based on the studentized range distribution and bonferroni's inequality. The generalized linear model. The repeated measures model. Random effects and mixed models. The correlation model. The distribution theory for multivariate analysis. The multivariate one-and two-sample models - inference about the mean vector. The multivariate linear model. Discriminant analysis. Testing hypotheses about the covariance matrix. Simplifying the structure of the covariance matrix.
Who reads The Theory of Linear Models and Multivariate Analysis (Wiley Series in Probability and Statistics)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Steven F. Arnold.
- Publisher
- John Wiley & Sons, Incorporated
- Published
- 1981
- Language
- EN
- ISBN
- 9780471050650
- Category
- nonfiction
- Subjects
- Mathematics, Stem
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