## Introduction to Linear Models and Experimental Design |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

ELEMENTARY PROBABILITY | 1 |

STATISTICAL INFERENCE | 71 |

LINEAR STATISTICAL MODELS | 118 |

Copyright | |

13 other sections not shown

### Common terms and phrases

accept H0 alternative hypothesis Appendix assigned randomly assumed BETWEEN-GROUP FACTORS blocking factor BNP Trace cell means ANOVA chi-square chi-square distribution coefficients column compound symmetric computed covariance matrix critical value decision rule defined degrees of freedom dependent variables distribution with q effect of Factor elements ENTER EFFECT equal Equation example EXERCISE expected value experiment F distribution factorial design Figure full rank ANOVA hypothesis matrix hypothesis of zero hypothetical data illustrated Kronecker product Latin square likelihood likelihood-ratio test main effect means ANOVA model modified Wald multivariate normal nested normal distribution null hypothesis NUMBER OF LEVELS number of subjects obtained orthogonal parameters PLANNED COMPARISON polynomial population means probability distribution random variable rank ANOVA model represented researcher row echelon form sample realization sample space scores Section specified subjects per cell Table test statistic treatment conditions treatment factor Type I error variance vector Wald statistic Wald test within-subject factors