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

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### JoramSoch (157 definitions)
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### JoramSoch (159 definitions)
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- [Akaike information criterion](/D/aic)
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- [Alternative hypothesis](/D/h1)
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- [Random vector](/D/rvec)
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- [Raw moment](/D/mom-raw)
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- [Reference prior distribution](/D/prior-ref)
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- [Regression line](/D/regline)
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- [Residual sum of squares](/D/rss)
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- [Residual variance](/D/resvar)
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- [Residual-forming matrix](/D/rfmat)
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- [Signal-to-noise ratio](/D/snr)
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- [Significance level](/D/alpha)
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- [Simple and composite hypothesis](/D/hyp-simp)
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- [Simple linear regression](/D/slr)
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- [Size of a statistical test](/D/size)
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- [Standard deviation](/D/std)
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- [Standard gamma distribution](/D/sgam)

I/Definition_by_Number.md

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| D160 | tglm | [Transformed general linear model](/D/tglm) | JoramSoch | 2021-10-21 |
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| D161 | iglm | [Inverse general linear model](/D/iglm) | JoramSoch | 2021-10-21 |
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| D162 | cfm | [Corresponding forward model](/D/cfm) | JoramSoch | 2021-10-21 |
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| D163 | slr | [Simple linear regression](/D/slr) | JoramSoch | 2021-10-27 |
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| D164 | regline | [Regression line](/D/regline) | JoramSoch | 2021-10-27 |

I/Definition_by_Topic.md

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- [Random vector](/D/rvec)
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- [Raw moment](/D/mom-raw)
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- [Reference prior distribution](/D/prior-ref)
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- [Regression line](/D/regline)
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- [Residual sum of squares](/D/rss)
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- [Residual variance](/D/resvar)
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- [Residual-forming matrix](/D/rfmat)
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- [Signal-to-noise ratio](/D/snr)
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- [Significance level](/D/alpha)
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- [Simple and composite hypothesis](/D/hyp-simp)
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- [Simple linear regression](/D/slr)
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- [Size of a statistical test](/D/size)
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- [Standard deviation](/D/std)
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- [Standard gamma distribution](/D/sgam)

I/Proof_by_Author.md

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### JoramSoch (260 proofs)
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### JoramSoch (270 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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- [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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- [Effects of mean-centering on parameter estimates for simple linear regression](/P/slr-meancent)
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- [Equivalence of matrix-normal distribution and multivariate normal distribution](/P/matn-mvn)
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- [Equivalence of parameter estimates from the transformed general linear model](/P/tglm-para)
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- [Exceedance probabilities for the Dirichlet distribution](/P/dir-ep)
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- [Existence of a corresponding forward model](/P/cfm-exist)
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- [Expectation of a quadratic form](/P/mean-qf)
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- [Expectation of parameter estimates for simple linear regression](/P/slr-olsmean)
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- [Expectation of the cross-validated log Bayes factor for the univariate Gaussian with known variance](/P/ugkv-cvlbfmean)
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- [Expectation of the log Bayes factor for the univariate Gaussian with known variance](/P/ugkv-lbfmean)
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- [Expected value of a non-negative random variable](/P/mean-nnrvar)
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- [One-sample z-test for independent observations](/P/ugkv-ztest1)
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- [Ordinary least squares for multiple linear regression](/P/mlr-ols)
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- [Ordinary least squares for multiple linear regression](/P/mlr-ols2)
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- [Ordinary least squares for simple linear regression](/P/slr-ols)
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- [Ordinary least squares for the general linear model](/P/glm-ols)
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- [Paired t-test for dependent observations](/P/ug-ttestp)
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- [Paired z-test for dependent observations](/P/ugkv-ztestp)
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- [Relation of mutual information to marginal and conditional entropy](/P/dmi-mce)
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- [Relation of mutual information to marginal and joint entropy](/P/dmi-mje)
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- [Relationship between R² and maximum log-likelihood](/P/rsq-mll)
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- [Relationship between coefficient of determination and correlation coefficient in simple linear regression](/P/slr-rsq)
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- [Relationship between correlation coefficient and slope estimate in simple linear regression](/P/slr-corr)
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- [Relationship between covariance and correlation](/P/cov-corr)
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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 normal distribution and standard normal distribution](/P/norm-snorm3)
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- [Relationship between normal distribution and t-distribution](/P/norm-t)
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- [Relationship between precision matrix and correlation matrix](/P/precmat-corrmat)
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- [Relationship between residual variance and sample variance in simple linear regression](/P/slr-resvar)
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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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- [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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- [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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- [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)
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- [Variance of constant is zero](/P/var-const)
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- [Variance of parameter estimates for simple linear regression](/P/slr-olsvar)
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- [Variance of the Poisson distribution](/P/poiss-var)
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- [Variance of the beta distribution](/P/beta-var)
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- [Variance of the gamma distribution](/P/gam-var)

I/Proof_by_Number.md

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| P268 | iglm-blue | [Best linear unbiased estimator for the inverse general linear model](/P/iglm-blue) | JoramSoch | 2021-10-21 |
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| P269 | cfm-para | [Parameters of the corresponding forward model](/P/cfm-para) | JoramSoch | 2021-10-21 |
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| P270 | cfm-exist | [Existence of a corresponding forward model](/P/cfm-exist) | JoramSoch | 2021-10-21 |
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| P271 | slr-ols | [Ordinary least squares for simple linear regression](/P/slr-ols) | JoramSoch | 2021-10-27 |
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| P272 | slr-olsmean | [Expectation of parameter estimates for simple linear regression](/P/slr-olsmean) | JoramSoch | 2021-10-27 |
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| P273 | slr-olsvar | [Variance of parameter estimates for simple linear regression](/P/slr-olsvar) | JoramSoch | 2021-10-27 |
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| P274 | slr-meancent | [Effects of mean-centering on parameter estimates for simple linear regression](/P/slr-meancent) | JoramSoch | 2021-10-27 |
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| P275 | slr-comp | [The regression line goes through the center of mass point](/P/slr-comp) | JoramSoch | 2021-10-27 |
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| P276 | slr-ressum | [The sum of residuals is zero in simple linear regression](/P/slr-ressum) | JoramSoch | 2021-10-27 |
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| P277 | slr-rescorr | [The residuals and the covariate are uncorrelated in simple linear regression](/P/slr-rescorr) | JoramSoch | 2021-10-27 |
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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 |

I/Proof_by_Topic.md

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### E
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- [Effects of mean-centering on parameter estimates for simple linear regression](/P/slr-meancent)
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- [Encompassing Prior Method for computing Bayes Factors](/P/bf-ep)
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- [Equivalence of matrix-normal distribution and multivariate normal distribution](/P/matn-mvn)
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- [Equivalence of parameter estimates from the transformed general linear model](/P/tglm-para)
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- [Exceedance probabilities for the Dirichlet distribution](/P/dir-ep)
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- [Existence of a corresponding forward model](/P/cfm-exist)
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- [Expectation of a quadratic form](/P/mean-qf)
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- [Expectation of parameter estimates for simple linear regression](/P/slr-olsmean)
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- [Expectation of the cross-validated log Bayes factor for the univariate Gaussian with known variance](/P/ugkv-cvlbfmean)
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- [Expectation of the log Bayes factor for the univariate Gaussian with known variance](/P/ugkv-lbfmean)
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- [Expected value of a non-negative random variable](/P/mean-nnrvar)
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- [One-sample z-test for independent observations](/P/ugkv-ztest1)
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- [Ordinary least squares for multiple linear regression](/P/mlr-ols)
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- [Ordinary least squares for multiple linear regression](/P/mlr-ols2)
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- [Ordinary least squares for simple linear regression](/P/slr-ols)
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- [Ordinary least squares for the general linear model](/P/glm-ols)
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### P
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- [Relation of mutual information to marginal and conditional entropy](/P/dmi-mce)
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- [Relation of mutual information to marginal and joint entropy](/P/dmi-mje)
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- [Relationship between R² and maximum log-likelihood](/P/rsq-mll)
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- [Relationship between coefficient of determination and correlation coefficient in simple linear regression](/P/slr-rsq)
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- [Relationship between correlation coefficient and slope estimate in simple linear regression](/P/slr-corr)
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- [Relationship between covariance and correlation](/P/cov-corr)
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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 normal distribution and standard normal distribution](/P/norm-snorm3)
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- [Relationship between normal distribution and t-distribution](/P/norm-t)
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- [Relationship between precision matrix and correlation matrix](/P/precmat-corrmat)
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- [Relationship between residual variance and sample variance in simple linear regression](/P/slr-resvar)
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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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### 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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- [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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### V
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- [Variance of constant is zero](/P/var-const)
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- [Variance of parameter estimates for simple linear regression](/P/slr-olsvar)
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- [Variance of the Poisson distribution](/P/poiss-var)
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- [Variance of the Wald distribution](/P/wald-var)
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- [Variance of the beta distribution](/P/beta-var)

I/Proofs_without_Source.md

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- [Derivation of the log model evidence](/P/lme-der)
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- [Derivation of the posterior model probability](/P/pmp-der)
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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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- [Expectation of the cross-validated log Bayes factor for the univariate Gaussian with known variance](/P/ugkv-cvlbfmean)
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- [Expectation of the log Bayes factor for the univariate Gaussian with known variance](/P/ugkv-lbfmean)
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- [Exponential distribution is a special case of gamma distribution](/P/exp-gam)

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