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Fitting Linear Models
Comparison and Estimation of Variances
Estimation of Variability and Reliability
6 other sections not shown
analysis of variance assumed assumptions Bayes Beta priors blocks calculated Chapter CM CM CM H confidence intervals contrasts cycles decision Degree of Freedom esti estimates of variance example experiment experimental error F x G/M factors five frequencies Fractional factorial designs function given groups of subjects hence HPRM independent variables inferences interactions intraclass correlation least squares estimates likelihood likelihood function linear model Loga logarithms mathematical Mean Log Variance mean square measure method model coefficients Nomothetic normal numbers of subjects obtained orthogonal parameters population posterior distribution ofp pressure prior distribution prior probability problem procedure R.A. Fisher random variables reliability replications represent sample covariance matrix Scheffe scores sequential analysis shown shows situation statistical substantive Successive posterior distributions sum of squares Table Theorem theory thesis threshold shift Tiao tions transformation unbiased estimate uncertainty uniform prior values Variance and Means variance components variance estimate vector zero