MAXITER= option
MCMC statement (MI),
2527 MODEL statement (CATMOD),
842 MODEL statement (LIFEREG),
2099 MODEL statement (LOGISTIC),
2313 MODEL statement (PHREG),
3232 MODELstatement(SURVEYLOGISTIC),4263
MODEL statement (TRANSREG), 4576
NLOPTIONS statement (CALIS),
614, 616 PROC ACECLUS statement,
405 PROC CALIS statement,
582 PROC FACTOR statement,
1311 PROC FASTCLUS statement,
1393 PROC MIXED statement,
2677 PROC NLIN statement,
3008 PROC NLMIXED statement,
3069 PROC PLS statement, METHOD=PLS option,
3375 PROC PLS statement, MISSING=EM option,
3376 PROC PRINQUAL statement,
3654 PROC VARCLUS statement, 4810
PROC VARCOMP statement, 4835
REPEATED statement (GENMOD),
1648 TABLES statement (FREQ),
1458 MI procedure
adjusted degrees of freedom,
2562 approximate Bayesian bootstrap,
2543 arbitrary missing pattern,
2539 autocorrelation function plot,
2557 between-imputation variance,
2561 combining inferences,
2561 converge in EM algorithm,
2522 convergence in EM algorithm,
2527 discriminant function method,
2544 fraction of missing information,
2562 introductory example,
2513 logistic regression method,
2546 MCMC monotone-data imputation,
2565 monotone missing pattern,
2538 multiple imputation efficiency,
2562 multivariate normality assumption,
2565 number of imputations,
2565 output parameter estimates,
2528 parameter simulation,
2564 predictive mean matching method,
2542 producing monotone missingness,
2552 random number generators,
2520 relative efficiency,
2562 relative increase in variance,
2562 saving graphics output,
2526 Summary of Issues in Multiple Imputation,
2564 within-imputation variance,
2561 worst linear function of parameters,
2556 See also mixed model
2D geometric anisotropic structure,
2721 Akaike s information criterion (finite sample
ante-dependence structure,
2721 ARIMA procedure, compared,
2665 asymptotic covariance,
2674 AUTOREG procedure, compared,
2665 banded Toeplitz structure,
2721 between-within method,
2693 Bonferroni adjustment,
2688 BYLEVEL processing of LSMEANS,
2689 CALIS procedure, compared,
2665 classification variables,
2681 computational details,
2772 computational order,
2773 Conditional residuals,
2764 continuous-by-class effects,
2746 continuous-nesting-class effects,
2745 convergence problems,
2774 Cook s D for covariance parameters,
2768 correlations of least-squares means,
2689 covariance parameter estimates, ratio,
2680 covariance parameters,
2661 covariances of least-squares means,
2689 covariate values for LSMEANS,
2688 COVRATIO for covariance parameters,
2770 COVTRACE for covariance parameters,
2770 degrees of freedom,
2682, 2684 “2687, 2690, 2693, 2705, 2742, 2747, 2751, 2774, 2809 direct product structure,
2721 Dunnett s adjustment,
2688 empirical best linear unbiased prediction,
2703 empirical sandwich estimator ,
2676 estimable functions,
2702 factor analytic structures,
2721 fixed-effects variance matrix,
2705 function evaluations,
2677 general linear structure,
2721 growth curve analysis,
2733 Hannan-Quinn information criterion,
2676 Hessian matrix,
2674, 2675, 2680, 2707, 2749, 2750, 2774, 2775, 2786, 2796 heterogeneous AR(1) structure,
2721 heterogeneous compound-symmetry structure,
2721 heterogeneous covariance structures,
2730 heterogeneous Toeplitz structure,
2721 Hotelling-Lawley-McKeon statistic,
2717 Hotelling-Lawley-Pillai-Sampson statistic,
2718 Huynh-Feldt structure,
2721 Influence diagnostics details,
2765 information criteria,
2676 interaction effects,
2744 intraclass correlation coefficient,
2791 introductory example,
2665 Kenward-Roger method,
2695 Kronecker product structure,
2721 LATTICE procedure, compared,
2665 Likelihood distance,
2770 likelihood ratio test,
2751 log-linear variance model,
2718 MAKE statement in Version 6,
2757 Matern covariance structure,
2721 MDFFITS for covariance parameters,
2769 memory requirements,
2775 missing level combinations,
2748 multiple comparisons of least-squares means,
2687, 2690 nested error structure,
2814 NESTED procedure, compared,
2665 Newton-Raphson algorithm,
2738 nonstandard weights for LSMEANS,
2690 observed margins for LSMEANS,
2690 over-parameterization,
2744 pharmaceutical stability, example,
2810 Plots of leave-one-out-estimates,
2760 plotting the likelihood,
2801 power-of-the-mean model,
2718 predicted value confidence intervals,
2692 random-effects parameter,
2715 Residual diagnostics details,
2763 residual variance tolerance,
2705 restricted maximum likelihood (REML),
2662 Satterthwaite method,
2694 simulation-based adjustment,
2688 spatial anisotropic exponential structure,
2721 standard linear model,
2663 statement positions ,
2672 Studentized Residual,
2704 Studentized residuals,
2768 summary of commands,
2672 TSCSREG procedure, compared,
2665 unstructured
R matrix,
2720 unstructured correlations,
2721 unstructured covariance matrix,
2721 VARCOMP procedure, example,
2795 zero design columns ,
2696 zero variance component estimates,
2774 MODECLUS procedure
cascaded density estimates,
2873 clusters, definition,
2878 compared with other procedures,
2856 cross validated density estimates,
2872 example using TRACE option,
2927 example using TRANSPOSE procedure,
2912 fixed-radius kernels ,
2870 Hertzsprung-Russell Plot, example,
2923 JOIN option, discussion,
2880 neighborhood distribution function (NDF), definition,
2878 nonparametric clustering methods,
2855 p -value computation,
2877 plotting samples from univariate distributions,
2889 population clusters, risks of estimating,
2877 saddle test, definition,
2879 variable-radius kernels,
2870