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updated index pages
The index pages were updated with the recently added proofs/definitions.
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I/PbA.md

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### JoramSoch (270 proofs)
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### JoramSoch (275 proofs)
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- [(Non-)Multiplicativity of the expected value](/P/mean-mult)
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- [Accuracy and complexity for the univariate Gaussian](/P/ug-anc)
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- [Differential entropy of the multivariate normal distribution](/P/mvn-dent)
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- [Differential entropy of the normal distribution](/P/norm-dent)
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- [Differential entropy of the normal-gamma distribution](/P/ng-dent)
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- [Distribution of parameter estimates for simple linear regression](/P/slr-olsdist)
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- [Distribution of the inverse general linear model](/P/iglm-dist)
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- [Distribution of the transformed general linear model](/P/tglm-dist)
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- [Distributional transformation using cumulative distribution function](/P/cdf-dt)
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- [Probability under mutual exclusivity](/P/prob-exc)
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- [Probability under statistical independence](/P/prob-ind)
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- [Projection matrix and residual-forming matrix are idempotent](/P/mlr-idem)
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- [Projection of a data point to the regression line](/P/slr-proj)
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- [Quantile function is inverse of strictly monotonically increasing cumulative distribution function](/P/qf-cdf)
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- [Quantile function of the continuous uniform distribution](/P/cuni-qf)
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- [Quantile function of the discrete uniform distribution](/P/duni-qf)
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- [Relationship between signal-to-noise ratio and R²](/P/snr-rsq)
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- [Scaling of the variance upon multiplication with a constant](/P/var-scal)
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- [Second central moment is variance](/P/momcent-2nd)
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- [Simple linear regression is a special case of multiple linear regression](/P/slr-mlr)
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- [Sums of squares for simple linear regression](/P/slr-sss)
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- [The regression line goes through the center of mass point](/P/slr-comp)
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- [The residuals and the covariate are uncorrelated in simple linear regression](/P/slr-rescorr)
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- [The sum of residuals is zero in simple linear regression](/P/slr-ressum)
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- [Transformation matrices for ordinary least squares](/P/mlr-mat)
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- [Transformation matrices for simple linear regression](/P/slr-mat)
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- [Transposition of a matrix-normal random variable](/P/matn-trans)
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- [Two-sample t-test for independent observations](/P/ug-ttest2)
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- [Two-sample z-test for independent observations](/P/ugkv-ztest2)

I/PbN.md

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| P278 | slr-resvar | [Relationship between residual variance and sample variance in simple linear regression](/P/slr-resvar) | JoramSoch | 2021-10-27 |
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| P279 | slr-corr | [Relationship between correlation coefficient and slope estimate in simple linear regression](/P/slr-corr) | JoramSoch | 2021-10-27 |
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| P280 | slr-rsq | [Relationship between coefficient of determination and correlation coefficient in simple linear regression](/P/slr-rsq) | JoramSoch | 2021-10-27 |
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| P281 | slr-mlr | [Simple linear regression is a special case of multiple linear regression](/P/slr-mlr) | JoramSoch | 2021-11-09 |
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| P282 | slr-olsdist | [Distribution of parameter estimates for simple linear regression](/P/slr-olsdist) | JoramSoch | 2021-11-09 |
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| P283 | slr-proj | [Projection of a data point to the regression line](/P/slr-proj) | JoramSoch | 2021-11-09 |
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| P284 | slr-sss | [Sums of squares for simple linear regression](/P/slr-sss) | JoramSoch | 2021-11-09 |
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| P285 | slr-mat | [Transformation matrices for simple linear regression](/P/slr-mat) | JoramSoch | 2021-11-09 |

I/PbT.md

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- [Differential entropy of the multivariate normal distribution](/P/mvn-dent)
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- [Differential entropy of the normal distribution](/P/norm-dent)
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- [Differential entropy of the normal-gamma distribution](/P/ng-dent)
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- [Distribution of parameter estimates for simple linear regression](/P/slr-olsdist)
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- [Distribution of the inverse general linear model](/P/iglm-dist)
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- [Distribution of the transformed general linear model](/P/tglm-dist)
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- [Distributional transformation using cumulative distribution function](/P/cdf-dt)
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- [Probability under mutual exclusivity](/P/prob-exc)
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- [Probability under statistical independence](/P/prob-ind)
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- [Projection matrix and residual-forming matrix are idempotent](/P/mlr-idem)
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- [Projection of a data point to the regression line](/P/slr-proj)
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- [Proof Template](/P/-temp-)
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### Q
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- [Savage-Dickey Density Ratio for computing Bayes Factors](/P/bf-sddr)
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- [Scaling of the variance upon multiplication with a constant](/P/var-scal)
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- [Second central moment is variance](/P/momcent-2nd)
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- [Simple linear regression is a special case of multiple linear regression](/P/slr-mlr)
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- [Sums of squares for simple linear regression](/P/slr-sss)
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### T
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- [The regression line goes through the center of mass point](/P/slr-comp)
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- [The residuals and the covariate are uncorrelated in simple linear regression](/P/slr-rescorr)
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- [The sum of residuals is zero in simple linear regression](/P/slr-ressum)
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- [Transformation matrices for ordinary least squares](/P/mlr-mat)
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- [Transformation matrices for simple linear regression](/P/slr-mat)
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- [Transitivity of Bayes Factors](/P/bf-trans)
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- [Transposition of a matrix-normal random variable](/P/matn-trans)
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- [Two-sample t-test for independent observations](/P/ug-ttest2)

I/PwS.md

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- [Relationship between R² and maximum log-likelihood](/P/rsq-mll)
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- [Relationship between second raw moment, variance and mean](/P/momraw-2nd)
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- [Relationship between signal-to-noise ratio and R²](/P/snr-rsq)
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- [Simple linear regression is a special case of multiple linear regression](/P/slr-mlr)
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- [Sums of squares for simple linear regression](/P/slr-sss)
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- [Transformation matrices for simple linear regression](/P/slr-mat)
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- [Transitivity of Bayes Factors](/P/bf-trans)
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- [Transposition of a matrix-normal random variable](/P/matn-trans)
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- [Variance of the Wald distribution](/P/wald-var)

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