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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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- [Covariance matrix of the multinomial distribution](/P/mult-cov)
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### JoramSoch (375 proofs)
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### JoramSoch (381 proofs)
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- [Accuracy and complexity for the univariate Gaussian](/P/ug-anc)
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- [Accuracy and complexity for the univariate Gaussian with known variance](/P/ugkv-anc)
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- [Deviance information criterion for multiple linear regression](/P/blr-dic)
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- [Differential entropy can be negative](/P/dent-neg)
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- [Differential entropy for the matrix-normal distribution](/P/matn-dent)
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- [Differential entropy of the continuous uniform distribution](/P/cuni-dent)
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- [Differential entropy of the gamma distribution](/P/gam-dent)
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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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- [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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- [Distributions of estimated parameters, fitted signal and residuals in multiple linear regression upon ordinary least squares](/P/mlr-olsdist)
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- [Distributions of estimated parameters, fitted signal and residuals in multiple linear regression upon weighted least squares](/P/mlr-wlsdist)
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- [Effects of mean-centering on parameter estimates for simple linear regression](/P/slr-meancent)
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- [Entropy of the Bernoulli distribution](/P/bern-ent)
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- [Maximum likelihood estimation for the Poisson distribution with exposure values](/P/poissexp-mle)
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- [Maximum likelihood estimation for the univariate Gaussian](/P/ug-mle)
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- [Maximum likelihood estimation for the univariate Gaussian with known variance](/P/ugkv-mle)
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- [Maximum likelihood estimator of variance in multiple linear regression is biased](/P/resvar-biasp)
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- [Maximum likelihood estimator of variance is biased](/P/resvar-bias)
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- [Maximum log-likelihood for binomial observations](/P/bin-mll)
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- [Maximum log-likelihood for multinomial observations](/P/mult-mll)
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- [Probability-generating function is expectation of function of random variable](/P/pgf-mean)
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- [Probability-generating function of the binomial distribution](/P/bin-pgf)
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- [Projection matrix and residual-forming matrix are idempotent](/P/mlr-idem)
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- [Projection matrix and residual-forming matrix are symmetric](/P/mlr-symm)
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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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- [Relationship between covariance matrix and correlation matrix](/P/covmat-corrmat)
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- [Relationship between gamma distribution and standard gamma distribution](/P/gam-sgam)
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- [Relationship between gamma distribution and standard gamma distribution](/P/gam-sgam2)
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- [Relationship between multivariate normal distribution and chi-squared distribution](/P/mvn-chi2)
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- [Relationship between multivariate t-distribution and F-distribution](/P/mvt-f)
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- [Relationship between non-standardized t-distribution and t-distribution](/P/nst-t)
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- [Relationship between normal distribution and chi-squared distribution](/P/norm-chi2)
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- [Variance of the Bernoulli distribution](/P/bern-var)
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- [Variance of the beta distribution](/P/beta-var)
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- [Variance of the binomial distribution](/P/bin-var)
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- [Variance of the continuous uniform distribution](/P/cuni-var)
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- [Variance of the gamma distribution](/P/gam-var)
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- [Variance of the linear combination of two random variables](/P/var-lincomb)
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- [Variance of the normal distribution](/P/norm-var)

I/PbN.md

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| P392 | mlr-f | [F-test for multiple linear regression using contrast-based inference](/P/mlr-f) | JoramSoch | 2022-12-13 |
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| P393 | mlr-ind | [Independence of estimated parameters and residuals in multiple linear regression](/P/mlr-ind) | JoramSoch | 2022-12-13 |
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| P394 | mvn-indprod | [Independence of products of multivariate normal random vector](/P/mvn-indprod) | JoramSoch | 2022-12-13 |
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| P395 | mvn-chi2 | [Relationship between multivariate normal distribution and chi-squared distribution](/P/mvn-chi2) | JoramSoch | 2022-12-20 |
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| P396 | cuni-var | [Variance of the continuous uniform distribution](/P/cuni-var) | JoramSoch | 2021-12-20 |
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| P397 | cuni-dent | [Differential entropy of the continuous uniform distribution](/P/cuni-dent) | JoramSoch | 2021-12-20 |
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| P398 | resvar-biasp | [Maximum likelihood estimator of variance in multiple linear regression is biased](/P/resvar-biasp) | JoramSoch | 2022-12-21 |
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| P399 | mlr-symm | [Projection matrix and residual-forming matrix are symmetric](/P/mlr-symm) | JoramSoch | 2022-12-22 |
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| P400 | mlr-olsdist | [Distributions of estimated parameters, fitted signal and residuals in multiple linear regression upon ordinary least squares](/P/mlr-olsdist) | JoramSoch | 2022-12-23 |

I/PbT.md

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- [Deviance information criterion for multiple linear regression](/P/blr-dic)
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- [Differential entropy can be negative](/P/dent-neg)
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- [Differential entropy for the matrix-normal distribution](/P/matn-dent)
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- [Differential entropy of the continuous uniform distribution](/P/cuni-dent)
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- [Differential entropy of the gamma distribution](/P/gam-dent)
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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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- [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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- [Distributions of estimated parameters, fitted signal and residuals in multiple linear regression upon ordinary least squares](/P/mlr-olsdist)
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- [Distributions of estimated parameters, fitted signal and residuals in multiple linear regression upon weighted least squares](/P/mlr-wlsdist)
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### E
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- [Maximum likelihood estimation for the Poisson distribution with exposure values](/P/poissexp-mle)
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- [Maximum likelihood estimation for the univariate Gaussian](/P/ug-mle)
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- [Maximum likelihood estimation for the univariate Gaussian with known variance](/P/ugkv-mle)
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- [Maximum likelihood estimator of variance in multiple linear regression is biased](/P/resvar-biasp)
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- [Maximum likelihood estimator of variance is biased](/P/resvar-bias)
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- [Maximum log-likelihood for binomial observations](/P/bin-mll)
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- [Maximum log-likelihood for multinomial observations](/P/mult-mll)
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- [Probability-generating function is expectation of function of random variable](/P/pgf-mean)
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- [Probability-generating function of the binomial distribution](/P/bin-pgf)
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- [Projection matrix and residual-forming matrix are idempotent](/P/mlr-idem)
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- [Projection matrix and residual-forming matrix are symmetric](/P/mlr-symm)
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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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- [Relationship between covariance matrix and correlation matrix](/P/covmat-corrmat)
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- [Relationship between gamma distribution and standard gamma distribution](/P/gam-sgam)
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- [Relationship between gamma distribution and standard gamma distribution](/P/gam-sgam2)
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- [Relationship between multivariate normal distribution and chi-squared distribution](/P/mvn-chi2)
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- [Relationship between multivariate t-distribution and F-distribution](/P/mvt-f)
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- [Relationship between non-standardized t-distribution and t-distribution](/P/nst-t)
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- [Relationship between normal distribution and chi-squared distribution](/P/norm-chi2)
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- [Variance of the Bernoulli distribution](/P/bern-var)
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- [Variance of the beta distribution](/P/beta-var)
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- [Variance of the binomial distribution](/P/bin-var)
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- [Variance of the continuous uniform distribution](/P/cuni-var)
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- [Variance of the gamma distribution](/P/gam-var)
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- [Variance of the linear combination of two random variables](/P/var-lincomb)
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- [Variance of the log-normal distribution](/P/lognorm-var)

I/PwS.md

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- [Deviance for multiple linear regression](/P/mlr-dev)
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- [Deviance information criterion for multiple linear regression](/P/blr-dic)
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- [Differential entropy for the matrix-normal distribution](/P/matn-dent)
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- [Differential entropy of the continuous uniform distribution](/P/cuni-dent)
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- [Differential entropy of the normal-gamma distribution](/P/ng-dent)
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- [Effects of mean-centering on parameter estimates for simple linear regression](/P/slr-meancent)
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- [Entropy of the binomial distribution](/P/bin-ent)
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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 continuous uniform distribution](/P/cuni-var)
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- [Variance of the Wald distribution](/P/wald-var)
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- [Weighted least squares for multiple linear regression](/P/mlr-wls2)
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- [Weighted least squares for simple linear regression](/P/slr-wls)

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