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Describes the computing techniques used to solve statistical problems. Indentifies the major themes, ideas, and methods for describing algorithms. Methods are illustrated with simple examples in order to facilitate coding for linear statistical computation.
|Series:||Wiley Series in Probability and Statistics - Applied Probability and Statistics Section Series , #48|
Table of Contents
Regression Calculations Part I. Regression Calculations Part II.
Matrix Manipulations for Regression and Correlation.
Orthogonal Reduction to Upper Triangular Form.
Models for Data from Designed Experiments.
Classical Multivariate Calculations.
Further Variations on a Linear Model Theme.
Computers and Computer Programs.