## Applied Multivariate Statistical AnalysisThis book is concerned with statistical methods for describing and analyzing multivariate data. The authors hope that their discussions will meet the needs of experimental scientists, in a wide variety of subject matter areas, as a readable introduction to the staistical analysis of multvariate observations. The authors emphasize the applications of multivariate methods and, have attempted to make the mathematics as palatable as possible. |

### What people are saying - Write a review

#### LibraryThing Review

User Review - bluetyson - LibraryThingApplied Multivariate Statistical Analysis by Richard A. Johnson is your basic beyond basic if you will, garden variety big honking textbook deal. A somewhat useful tome, but again, not that ... Read full review

### Contents

Matrix Algebra and Random Vectors | 35 |

Basic Concepts | 67 |

Sample Geometry and Random Sampling | 88 |

Copyright | |

12 other sections not shown

### Common terms and phrases

analysis approximately associated assume assumption axes calculate called canonical choice classification clusters coefficient columns Compare Consequently Consider constant Construct correlation corresponding covariance matrix defined definite density determined diagonal dimensions discriminant discussed distance distribution effects eigenvalues eigenvectors elements equal Equation error estimates Example Exercise expected explained expression factor Figure function given gives independent indicate interpretation intervals length linear combinations loadings maximum likelihood estimates mean vector measurements methods multivariate normal normal normal distribution Note objects observations obtained original pairs plot points population positive possible predictor principal components probability procedure proportion random ratio regression reject represent residual respectively response Result rotated rule sample mean sample variance scores Show similar simultaneous specific squares standardized statistical Table treatment unit values variables variates vector zero