updated index pages

The index pages were updated with the recently added proofs.

Author: JoramSoch

I/DbA.md

@@ -13,7 +13,7 @@ title: "Definition by Author"
 
 - [Sample covariance](/D/cov-samp)
 
-### JoramSoch (187 definitions)
+### JoramSoch (188 definitions)
 
 - [Akaike information criterion](/D/aic)
 - [Alternative hypothesis](/D/h1)
@@ -136,6 +136,7 @@ title: "Definition by Author"
 - [One-tailed and two-tailed test](/D/test-tail)
 - [One-way analysis of variance](/D/anova1)
 - [p-value](/D/pval)
+- [Parameter](/D/para)
 - [Point and set hypothesis](/D/hyp-point)
 - [Poisson distribution](/D/poiss)
 - [Poisson distribution with exposure values](/D/poissexp)

I/DbN.md

@@ -210,3 +210,4 @@ title: "Definition by Number"
 | D201 | post-pred | [Posterior predictive distribution](/D/post-pred) | aloctavodia | 2024-08-18 |
 | D202 | prior-pred | [Prior predictive distribution](/D/prior-pred) | aloctavodia | 2024-08-19 |
 | D203 | data | [Data](/D/data) | JoramSoch | 2024-09-20 |
+| D204 | para | [Parameter](/D/para) | JoramSoch | 2024-09-27 |

I/DbT.md

@@ -177,6 +177,7 @@ title: "Definition by Topic"
 ### P
 
 - [p-value](/D/pval)
+- [Parameter](/D/para)
 - [Point and set hypothesis](/D/hyp-point)
 - [Poisson distribution](/D/poiss)
 - [Poisson distribution with exposure values](/D/poissexp)

I/PbA.md

@@ -12,7 +12,7 @@ title: "Proof by Author"
 
 - [Posterior predictive distribution is a marginal distribution of the joint likelihood](/P/postpred-jl)
 
-### JoramSoch (435 proofs)
+### JoramSoch (436 proofs)
 
 - [Accuracy and complexity for Bayesian linear regression](/P/blr-anc)
 - [Accuracy and complexity for Bayesian linear regression with known covariance](/P/blrkc-anc)
@@ -147,6 +147,7 @@ title: "Proof by Author"
 - [Gibbs' inequality](/P/gibbs-ineq)
 - [Independence of estimated parameters and residuals in multiple linear regression](/P/mlr-ind)
 - [Independence of products of multivariate normal random vector](/P/mvn-indprod)
+- [Independent random variables are uncorrelated](/P/corr-ind)
 - [Inflection points of the probability density function of the normal distribution](/P/norm-infl)
 - [Invariance of the covariance matrix under addition of constant vector](/P/covmat-inv)
 - [Invariance of the differential entropy under addition of a constant](/P/dent-inv)
@@ -475,9 +476,10 @@ title: "Proof by Author"
 - [Variance of the exponential distribution](/P/exp-var)
 - [Variance of the log-normal distribution](/P/lognorm-var)
 
-### salbalkus (1 proof)
+### salbalkus (2 proofs)
 
 - [The expected value minimizes the mean squared error](/P/mean-mse)
+- [The median minimizes the mean absolute error](/P/med-mae)
 
 ### StatProofBook (1 proof)
 

I/PbN.md

@@ -476,3 +476,5 @@ title: "Proof by Number"
 | P468 | mean-wlln | [Weak law of large numbers](/P/mean-wlln) | JoramSoch | 2024-09-13 |
 | P469 | mean-mse | [The expected value minimizes the mean squared error](/P/mean-mse) | salbalkus | 2024-09-13 |
 | P470 | ind-self | [Self-independence of random event](/P/ind-self) | JoramSoch | 2024-09-20 |
+| P471 | med-mae | [The median minimizes the mean absolute error](/P/med-mae) | salbalkus | 2024-09-23 |
+| P472 | corr-ind | [Independent random variables are uncorrelated](/P/corr-ind) | JoramSoch | 2024-09-27 |

I/PbT.md

@@ -165,6 +165,7 @@ title: "Proof by Topic"
 
 - [Independence of estimated parameters and residuals in multiple linear regression](/P/mlr-ind)
 - [Independence of products of multivariate normal random vector](/P/mvn-indprod)
+- [Independent random variables are uncorrelated](/P/corr-ind)
 - [Inflection points of the probability density function of the normal distribution](/P/norm-infl)
 - [Invariance of the covariance matrix under addition of constant vector](/P/covmat-inv)
 - [Invariance of the differential entropy under addition of a constant](/P/dent-inv)
@@ -497,6 +498,7 @@ title: "Proof by Topic"
 - [t-test for multiple linear regression using contrast-based inference](/P/mlr-t)
 - [The expected value minimizes the mean squared error](/P/mean-mse)
 - [The log probability scoring rule is a strictly proper scoring rule](/P/lpsr-spsr)
+- [The median minimizes the mean absolute error](/P/med-mae)
 - [The p-value follows a uniform distribution under the null hypothesis](/P/pval-h0)
 - [The regression line goes through the center of mass point](/P/slr-comp)
 - [The residuals and the covariate are uncorrelated in simple linear regression](/P/slr-rescorr)