@@ -480,6 +480,7 @@ title: "Table of Contents"
480480 &emsp ;&ensp ; 4.1.9. ** [ Marginal distributions] ( /P/mvn-marg ) ** <br >
481481 &emsp ;&ensp ; 4.1.10. ** [ Conditional distributions] ( /P/mvn-cond ) ** <br >
482482 &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 >
483484
484485 4.2. Multivariate t-distribution <br >
485486 &emsp ;&ensp ; 4.2.1. * [ Definition] ( /D/mvt ) * <br >
@@ -620,14 +621,21 @@ title: "Table of Contents"
620621 &emsp ;&ensp ; 1.5.11. * [ Residual-forming matrix] ( /D/rfmat ) * <br >
621622 &emsp ;&ensp ; 1.5.12. ** [ Estimation, projection and residual-forming matrix] ( /P/mlr-mat ) ** <br >
622623 &emsp ;&ensp ; 1.5.13. ** [ Idempotence of projection and residual-forming matrix] ( /P/mlr-idem ) ** <br >
623- &emsp ;&ensp ; 1.5.14. ** [ Weighted least squares] ( /P/mlr-wls ) ** (1) <br >
624- &emsp ;&ensp ; 1.5.15. ** [ Weighted least squares] ( /P/mlr-wls2 ) ** (2) <br >
625- &emsp ;&ensp ; 1.5.16. ** [ Maximum likelihood estimation] ( /P/mlr-mle ) ** <br >
626- &emsp ;&ensp ; 1.5.17. ** [ Maximum log-likelihood] ( /P/mlr-mll ) ** <br >
627- &emsp ;&ensp ; 1.5.18. ** [ Deviance function] ( /P/mlr-dev ) ** <br >
628- &emsp ;&ensp ; 1.5.19. ** [ Akaike information criterion] ( /P/mlr-aic ) ** <br >
629- &emsp ;&ensp ; 1.5.20. ** [ Bayesian information criterion] ( /P/mlr-bic ) ** <br >
630- &emsp ;&ensp ; 1.5.21. ** [ Corrected Akaike information criterion] ( /P/mlr-aicc ) ** <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 >
631639
632640 1.6. Bayesian linear regression <br >
633641 &emsp ;&ensp ; 1.6.1. ** [ Conjugate prior distribution] ( /P/blr-prior ) ** <br >
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