@@ -368,6 +368,8 @@ title: "Table of Contents"
368368 &emsp ;&ensp ; 3.1.6. ** [ Mean] ( /P/cuni-mean ) ** <br >
369369 &emsp ;&ensp ; 3.1.7. ** [ Median] ( /P/cuni-med ) ** <br >
370370 &emsp ;&ensp ; 3.1.8. ** [ Mode] ( /P/cuni-mode ) ** <br >
371+ &emsp ;&ensp ; 3.1.9. ** [ Variance] ( /P/cuni-var ) ** <br >
372+ &emsp ;&ensp ; 3.1.10. ** [ Differential entropy] ( /P/cuni-dent ) ** <br >
371373
372374 3.2. Normal distribution <br >
373375 &emsp ;&ensp ; 3.2.1. * [ Definition] ( /D/norm ) * <br >
@@ -470,17 +472,18 @@ title: "Table of Contents"
470472
471473 4.1. Multivariate normal distribution <br >
472474 &emsp ;&ensp ; 4.1.1. * [ Definition] ( /D/mvn ) * <br >
473- &emsp ;&ensp ; 4.1.2. ** [ Special case of matrix-normal distribution] ( /P/mvn-matn ) ** <br >
474- &emsp ;&ensp ; 4.1.3. ** [ Probability density function] ( /P/mvn-pdf ) ** <br >
475- &emsp ;&ensp ; 4.1.4. ** [ Mean] ( /P/mvn-mean ) ** <br >
476- &emsp ;&ensp ; 4.1.5. ** [ Covariance] ( /P/mvn-cov ) ** <br >
477- &emsp ;&ensp ; 4.1.6. ** [ Differential entropy] ( /P/mvn-dent ) ** <br >
478- &emsp ;&ensp ; 4.1.7. ** [ Kullback-Leibler divergence] ( /P/mvn-kl ) ** <br >
479- &emsp ;&ensp ; 4.1.8. ** [ Linear transformation] ( /P/mvn-ltt ) ** <br >
480- &emsp ;&ensp ; 4.1.9. ** [ Marginal distributions] ( /P/mvn-marg ) ** <br >
481- &emsp ;&ensp ; 4.1.10. ** [ Conditional distributions] ( /P/mvn-cond ) ** <br >
482- &emsp ;&ensp ; 4.1.11. ** [ Conditions for independence] ( /P/mvn-ind ) ** <br >
483- &emsp ;&ensp ; 4.1.12. ** [ Independence of products] ( /P/mvn-indprod ) ** <br >
475+ &emsp ;&ensp ; 4.1.2. ** [ Relationship to chi-squared distribution] ( /P/mvn-chi2 ) ** <br >
476+ &emsp ;&ensp ; 4.1.3. ** [ Special case of matrix-normal distribution] ( /P/mvn-matn ) ** <br >
477+ &emsp ;&ensp ; 4.1.4. ** [ Probability density function] ( /P/mvn-pdf ) ** <br >
478+ &emsp ;&ensp ; 4.1.5. ** [ Mean] ( /P/mvn-mean ) ** <br >
479+ &emsp ;&ensp ; 4.1.6. ** [ Covariance] ( /P/mvn-cov ) ** <br >
480+ &emsp ;&ensp ; 4.1.7. ** [ Differential entropy] ( /P/mvn-dent ) ** <br >
481+ &emsp ;&ensp ; 4.1.8. ** [ Kullback-Leibler divergence] ( /P/mvn-kl ) ** <br >
482+ &emsp ;&ensp ; 4.1.9. ** [ Linear transformation] ( /P/mvn-ltt ) ** <br >
483+ &emsp ;&ensp ; 4.1.10. ** [ Marginal distributions] ( /P/mvn-marg ) ** <br >
484+ &emsp ;&ensp ; 4.1.11. ** [ Conditional distributions] ( /P/mvn-cond ) ** <br >
485+ &emsp ;&ensp ; 4.1.12. ** [ Conditions for independence] ( /P/mvn-ind ) ** <br >
486+ &emsp ;&ensp ; 4.1.13. ** [ Independence of products] ( /P/mvn-indprod ) ** <br >
484487
485488 4.2. Multivariate t-distribution <br >
486489 &emsp ;&ensp ; 4.2.1. * [ Definition] ( /D/mvt ) * <br >
@@ -620,22 +623,24 @@ title: "Table of Contents"
620623 &emsp ;&ensp ; 1.5.10. * [ Projection matrix] ( /D/pmat ) * <br >
621624 &emsp ;&ensp ; 1.5.11. * [ Residual-forming matrix] ( /D/rfmat ) * <br >
622625 &emsp ;&ensp ; 1.5.12. ** [ Estimation, projection and residual-forming matrix] ( /P/mlr-mat ) ** <br >
623- &emsp ;&ensp ; 1.5.13. ** [ Idempotence of projection and residual-forming matrix] ( /P/mlr-idem ) ** <br >
624- &emsp ;&ensp ; 1.5.14. ** [ Independence of estimated parameters and residuals] ( /P/mlr-ind ) ** <br >
625- &emsp ;&ensp ; 1.5.15. ** [ Distribution of estimated parameters, signal and residuals] ( /P/mlr-wlsdist ) ** <br >
626- &emsp ;&ensp ; 1.5.16. ** [ Distribution of residual sum of squares] ( /P/mlr-rssdist ) ** <br >
627- &emsp ;&ensp ; 1.5.17. ** [ Weighted least squares] ( /P/mlr-wls ) ** (1) <br >
628- &emsp ;&ensp ; 1.5.18. ** [ Weighted least squares] ( /P/mlr-wls2 ) ** (2) <br >
629- &emsp ;&ensp ; 1.5.19. * [ t-contrast] ( /D/tcon ) * <br >
630- &emsp ;&ensp ; 1.5.20. * [ F-contrast] ( /D/fcon ) * <br >
631- &emsp ;&ensp ; 1.5.21. ** [ Contrast-based t-test] ( /P/mlr-t ) ** <br >
632- &emsp ;&ensp ; 1.5.22. ** [ Contrast-based F-test] ( /P/mlr-f ) ** <br >
633- &emsp ;&ensp ; 1.5.23. ** [ Maximum likelihood estimation] ( /P/mlr-mle ) ** <br >
634- &emsp ;&ensp ; 1.5.24. ** [ Maximum log-likelihood] ( /P/mlr-mll ) ** <br >
635- &emsp ;&ensp ; 1.5.25. ** [ Deviance function] ( /P/mlr-dev ) ** <br >
636- &emsp ;&ensp ; 1.5.26. ** [ Akaike information criterion] ( /P/mlr-aic ) ** <br >
637- &emsp ;&ensp ; 1.5.27. ** [ Bayesian information criterion] ( /P/mlr-bic ) ** <br >
638- &emsp ;&ensp ; 1.5.28. ** [ Corrected Akaike information criterion] ( /P/mlr-aicc ) ** <br >
626+ &emsp ;&ensp ; 1.5.13. ** [ Symmetry of projection and residual-forming matrix] ( /P/mlr-symm ) ** <br >
627+ &emsp ;&ensp ; 1.5.14. ** [ Idempotence of projection and residual-forming matrix] ( /P/mlr-idem ) ** <br >
628+ &emsp ;&ensp ; 1.5.15. ** [ Independence of estimated parameters and residuals] ( /P/mlr-ind ) ** <br >
629+ &emsp ;&ensp ; 1.5.16. ** [ Distribution of OLS estimates, signal and residuals] ( /P/mlr-olsdist ) ** <br >
630+ &emsp ;&ensp ; 1.5.17. ** [ Distribution of WLS estimates, signal and residuals] ( /P/mlr-wlsdist ) ** <br >
631+ &emsp ;&ensp ; 1.5.18. ** [ Distribution of residual sum of squares] ( /P/mlr-rssdist ) ** <br >
632+ &emsp ;&ensp ; 1.5.19. ** [ Weighted least squares] ( /P/mlr-wls ) ** (1) <br >
633+ &emsp ;&ensp ; 1.5.20. ** [ Weighted least squares] ( /P/mlr-wls2 ) ** (2) <br >
634+ &emsp ;&ensp ; 1.5.21. * [ t-contrast] ( /D/tcon ) * <br >
635+ &emsp ;&ensp ; 1.5.22. * [ F-contrast] ( /D/fcon ) * <br >
636+ &emsp ;&ensp ; 1.5.23. ** [ Contrast-based t-test] ( /P/mlr-t ) ** <br >
637+ &emsp ;&ensp ; 1.5.24. ** [ Contrast-based F-test] ( /P/mlr-f ) ** <br >
638+ &emsp ;&ensp ; 1.5.25. ** [ Maximum likelihood estimation] ( /P/mlr-mle ) ** <br >
639+ &emsp ;&ensp ; 1.5.26. ** [ Maximum log-likelihood] ( /P/mlr-mll ) ** <br >
640+ &emsp ;&ensp ; 1.5.27. ** [ Deviance function] ( /P/mlr-dev ) ** <br >
641+ &emsp ;&ensp ; 1.5.28. ** [ Akaike information criterion] ( /P/mlr-aic ) ** <br >
642+ &emsp ;&ensp ; 1.5.29. ** [ Bayesian information criterion] ( /P/mlr-bic ) ** <br >
643+ &emsp ;&ensp ; 1.5.30. ** [ Corrected Akaike information criterion] ( /P/mlr-aicc ) ** <br >
639644
640645 1.6. Bayesian linear regression <br >
641646 &emsp ;&ensp ; 1.6.1. ** [ Conjugate prior distribution] ( /P/blr-prior ) ** <br >
@@ -738,8 +743,9 @@ title: "Table of Contents"
738743
739744 1.1. Residual variance <br >
740745 &emsp ;&ensp ; 1.1.1. * [ Definition] ( /D/resvar ) * <br >
741- &emsp ;&ensp ; 1.1.2. ** [ Maximum likelihood estimator is biased] ( /P/resvar-bias ) ** <br >
742- &emsp ;&ensp ; 1.1.3. ** [ Construction of unbiased estimator] ( /P/resvar-unb ) ** <br >
746+ &emsp ;&ensp ; 1.1.2. ** [ Maximum likelihood estimator is biased (p = 1)] ( /P/resvar-bias ) ** <br >
747+ &emsp ;&ensp ; 1.1.3. ** [ Maximum likelihood estimator is biased (p > 1)] ( /P/resvar-biasp ) ** <br >
748+ &emsp ;&ensp ; 1.1.4. ** [ Construction of unbiased estimator] ( /P/resvar-unb ) ** <br >
743749
744750 1.2. R-squared <br >
745751 &emsp ;&ensp ; 1.2.1. * [ Definition] ( /D/rsq ) * <br >
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