updated index pages

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

Author: JoramSoch

I/PbA.md

@@ -4,7 +4,7 @@ title: "Proof by Author"
 ---
 
 
-### JoramSoch (275 proofs)
+### JoramSoch (280 proofs)
 
 - [(Non-)Multiplicativity of the expected value](/P/mean-mult)
 - [Accuracy and complexity for the univariate Gaussian](/P/ug-anc)
@@ -120,6 +120,8 @@ title: "Proof by Author"
 - [Maximum likelihood estimation for Dirichlet-distributed data](/P/dir-mle)
 - [Maximum likelihood estimation for Poisson-distributed data](/P/poiss-mle)
 - [Maximum likelihood estimation for multiple linear regression](/P/mlr-mle)
+- [Maximum likelihood estimation for simple linear regression](/P/slr-mle)
+- [Maximum likelihood estimation for simple linear regression](/P/slr-mle2)
 - [Maximum likelihood estimation for the Poisson distribution with exposure values](/P/poissexp-mle)
 - [Maximum likelihood estimation for the general linear model](/P/glm-mle)
 - [Maximum likelihood estimation for the univariate Gaussian](/P/ug-mle)
@@ -164,6 +166,7 @@ title: "Proof by Author"
 - [Ordinary least squares for multiple linear regression](/P/mlr-ols)
 - [Ordinary least squares for multiple linear regression](/P/mlr-ols2)
 - [Ordinary least squares for simple linear regression](/P/slr-ols)
+- [Ordinary least squares for simple linear regression](/P/slr-ols2)
 - [Ordinary least squares for the general linear model](/P/glm-ols)
 - [Paired t-test for dependent observations](/P/ug-ttestp)
 - [Paired z-test for dependent observations](/P/ugkv-ztestp)
@@ -280,6 +283,8 @@ title: "Proof by Author"
 - [Variance of the sum of two random variables](/P/var-sum)
 - [Weighted least squares for multiple linear regression](/P/mlr-wls)
 - [Weighted least squares for multiple linear regression](/P/mlr-wls2)
+- [Weighted least squares for simple linear regression](/P/slr-wls)
+- [Weighted least squares for simple linear regression](/P/slr-wls2)
 - [Weighted least squares for the general linear model](/P/glm-wls)
 
 ### StatProofBook (1 proof)

I/PbN.md

@@ -291,3 +291,8 @@ title: "Proof by Number"
 | P283 | slr-proj | [Projection of a data point to the regression line](/P/slr-proj) | JoramSoch | 2021-11-09 |
 | P284 | slr-sss | [Sums of squares for simple linear regression](/P/slr-sss) | JoramSoch | 2021-11-09 |
 | P285 | slr-mat | [Transformation matrices for simple linear regression](/P/slr-mat) | JoramSoch | 2021-11-09 |
+| P286 | slr-wls | [Weighted least squares for simple linear regression](/P/slr-wls) | JoramSoch | 2021-11-16 |
+| P287 | slr-mle | [Maximum likelihood estimation for simple linear regression](/P/slr-mle) | JoramSoch | 2021-11-16 |
+| P288 | slr-ols2 | [Ordinary least squares for simple linear regression](/P/slr-ols2) | JoramSoch | 2021-11-16 |
+| P289 | slr-wls2 | [Weighted least squares for simple linear regression](/P/slr-wls2) | JoramSoch | 2021-11-16 |
+| P290 | slr-mle2 | [Maximum likelihood estimation for simple linear regression](/P/slr-mle2) | JoramSoch | 2021-11-16 |

I/PbT.md

@@ -154,6 +154,8 @@ title: "Proof by Topic"
 - [Maximum likelihood estimation for Dirichlet-distributed data](/P/dir-mle)
 - [Maximum likelihood estimation for multiple linear regression](/P/mlr-mle)
 - [Maximum likelihood estimation for Poisson-distributed data](/P/poiss-mle)
+- [Maximum likelihood estimation for simple linear regression](/P/slr-mle)
+- [Maximum likelihood estimation for simple linear regression](/P/slr-mle2)
 - [Maximum likelihood estimation for the general linear model](/P/glm-mle)
 - [Maximum likelihood estimation for the Poisson distribution with exposure values](/P/poissexp-mle)
 - [Maximum likelihood estimation for the univariate Gaussian](/P/ug-mle)
@@ -208,6 +210,7 @@ title: "Proof by Topic"
 - [Ordinary least squares for multiple linear regression](/P/mlr-ols)
 - [Ordinary least squares for multiple linear regression](/P/mlr-ols2)
 - [Ordinary least squares for simple linear regression](/P/slr-ols)
+- [Ordinary least squares for simple linear regression](/P/slr-ols2)
 - [Ordinary least squares for the general linear model](/P/glm-ols)
 
 ### P
@@ -350,4 +353,6 @@ title: "Proof by Topic"
 
 - [Weighted least squares for multiple linear regression](/P/mlr-wls)
 - [Weighted least squares for multiple linear regression](/P/mlr-wls2)
+- [Weighted least squares for simple linear regression](/P/slr-wls)
+- [Weighted least squares for simple linear regression](/P/slr-wls2)
 - [Weighted least squares for the general linear model](/P/glm-wls)

I/PwS.md

@@ -41,6 +41,8 @@ title: "Proofs without Source"
 - [Marginal likelihood is a definite integral of joint likelihood](/P/ml-jl)
 - [Maximum likelihood estimation for multiple linear regression](/P/mlr-mle)
 - [Maximum likelihood estimation for Poisson-distributed data](/P/poiss-mle)
+- [Maximum likelihood estimation for simple linear regression](/P/slr-mle)
+- [Maximum likelihood estimation for simple linear regression](/P/slr-mle2)
 - [Maximum likelihood estimation for the general linear model](/P/glm-mle)
 - [Maximum likelihood estimation for the Poisson distribution with exposure values](/P/poissexp-mle)
 - [Mean of the categorical distribution](/P/cat-mean)
@@ -55,6 +57,7 @@ title: "Proofs without Source"
 - [Mode of the exponential distribution](/P/exp-mode)
 - [Mode of the normal distribution](/P/norm-mode)
 - [Necessary and sufficient condition for independence of multivariate normal random variables](/P/mvn-ind)
+- [Ordinary least squares for simple linear regression](/P/slr-ols2)
 - [Ordinary least squares for the general linear model](/P/glm-ols)
 - [Posterior density is proportional to joint likelihood](/P/post-jl)
 - [Probability density function of the beta distribution](/P/beta-pdf)
@@ -93,4 +96,6 @@ title: "Proofs without Source"
 - [Transposition of a matrix-normal random variable](/P/matn-trans)
 - [Variance of the Wald distribution](/P/wald-var)
 - [Weighted least squares for multiple linear regression](/P/mlr-wls2)
+- [Weighted least squares for simple linear regression](/P/slr-wls)
+- [Weighted least squares for simple linear regression](/P/slr-wls2)
 - [Weighted least squares for the general linear model](/P/glm-wls)