rearrange table of contents

JoramSoch · JoramSoch · commit d93019577fdc · 2022-10-11T11:44:10.000+02:00
Sections 3-5 of Chapter III were completely reorganized.
diff --git a/D/beta-data.md b/D/beta-data.md
@@ -9,7 +9,7 @@ date: 2020-06-28 21:16:00
 
 title: "Beta-distributed data"
 chapter: "Statistical Models"
-section: "Probability data"
+section: "Frequency data"
 topic: "Beta-distributed data"
 definition: "Definition"
 
diff --git a/D/bin-data.md b/D/bin-data.md
@@ -9,7 +9,7 @@ date: 2020-07-07 07:04:00
 
 title: "Binomial observations"
 chapter: "Statistical Models"
-section: "Categorical data"
+section: "Count data"
 topic: "Binomial observations"
 definition: "Definition"
 
diff --git a/D/dir-data.md b/D/dir-data.md
@@ -9,7 +9,7 @@ date: 2020-10-22 05:06:00
 
 title: "Dirichlet-distributed data"
 chapter: "Statistical Models"
-section: "Probability data"
+section: "Frequency data"
 topic: "Dirichlet-distributed data"
 definition: "Definition"
 
diff --git a/D/mult-data.md b/D/mult-data.md
@@ -9,7 +9,7 @@ date: 2020-07-07 07:12:00
 
 title: "Multinomial observations"
 chapter: "Statistical Models"
-section: "Categorical data"
+section: "Count data"
 topic: "Multinomial observations"
 definition: "Definition"
 
diff --git a/D/poiss-data.md b/D/poiss-data.md
@@ -9,7 +9,7 @@ date: 2020-03-22 22:50:00
 
 title: "Poisson-distributed data"
 chapter: "Statistical Models"
-section: "Poisson data"
+section: "Count data"
 topic: "Poisson-distributed data"
 definition: "Definition"
 
diff --git a/D/poissexp.md b/D/poissexp.md
@@ -9,7 +9,7 @@ date: 2020-03-22 22:57:00
 
 title: "Poisson distribution with exposure values"
 chapter: "Statistical Models"
-section: "Poisson data"
+section: "Count data"
 topic: "Poisson distribution with exposure values"
 definition: "Definition"
 
diff --git a/I/ToC.md b/I/ToC.md
@@ -639,24 +639,36 @@ title: "Table of Contents"
    &emsp;&ensp; 2.4.2. **[Posterior distribution](/P/mblr-post)** <br>
    &emsp;&ensp; 2.4.3. **[Log model evidence](/P/mblr-lme)** <br>
 
-3. Poisson data
-
-   3.1. Poisson-distributed data <br>
-   &emsp;&ensp; 3.1.1. *[Definition](/D/poiss-data)* <br>
-   &emsp;&ensp; 3.1.2. **[Maximum likelihood estimation](/P/poiss-mle)** <br>
-   &emsp;&ensp; 3.1.3. **[Conjugate prior distribution](/P/poiss-prior)** <br>
-   &emsp;&ensp; 3.1.4. **[Posterior distribution](/P/poiss-post)** <br>
-   &emsp;&ensp; 3.1.5. **[Log model evidence](/P/poiss-lme)** <br>
-   
-   3.2. Poisson distribution with exposure values <br>
-   &emsp;&ensp; 3.2.1. *[Definition](/D/poissexp)* <br>
-   &emsp;&ensp; 3.2.2. **[Maximum likelihood estimation](/P/poissexp-mle)** <br>
-   &emsp;&ensp; 3.2.3. **[Conjugate prior distribution](/P/poissexp-prior)** <br>
-   &emsp;&ensp; 3.2.4. **[Posterior distribution](/P/poissexp-post)** <br>
-   &emsp;&ensp; 3.2.5. **[Log model evidence](/P/poissexp-lme)** <br>
+3. Count data
+   
+   3.1. Binomial observations <br>
+   &emsp;&ensp; 3.1.1. *[Definition](/D/bin-data)* <br>
+   &emsp;&ensp; 3.1.2. **[Conjugate prior distribution](/P/bin-prior)** <br>
+   &emsp;&ensp; 3.1.3. **[Posterior distribution](/P/bin-post)** <br>
+   &emsp;&ensp; 3.1.4. **[Log model evidence](/P/bin-lme)** <br>
+   
+   3.2. Multinomial observations <br>
+   &emsp;&ensp; 3.2.1. *[Definition](/D/mult-data)* <br>
+   &emsp;&ensp; 3.2.2. **[Conjugate prior distribution](/P/mult-prior)** <br>
+   &emsp;&ensp; 3.2.3. **[Posterior distribution](/P/mult-post)** <br>
+   &emsp;&ensp; 3.2.4. **[Log model evidence](/P/mult-lme)** <br>
+
+   3.3. Poisson-distributed data <br>
+   &emsp;&ensp; 3.3.1. *[Definition](/D/poiss-data)* <br>
+   &emsp;&ensp; 3.3.2. **[Maximum likelihood estimation](/P/poiss-mle)** <br>
+   &emsp;&ensp; 3.3.3. **[Conjugate prior distribution](/P/poiss-prior)** <br>
+   &emsp;&ensp; 3.3.4. **[Posterior distribution](/P/poiss-post)** <br>
+   &emsp;&ensp; 3.3.5. **[Log model evidence](/P/poiss-lme)** <br>
+   
+   3.4. Poisson distribution with exposure values <br>
+   &emsp;&ensp; 3.4.1. *[Definition](/D/poissexp)* <br>
+   &emsp;&ensp; 3.4.2. **[Maximum likelihood estimation](/P/poissexp-mle)** <br>
+   &emsp;&ensp; 3.4.3. **[Conjugate prior distribution](/P/poissexp-prior)** <br>
+   &emsp;&ensp; 3.4.4. **[Posterior distribution](/P/poissexp-post)** <br>
+   &emsp;&ensp; 3.4.5. **[Log model evidence](/P/poissexp-lme)** <br>
+
+4. Frequency data
    
-4. Probability data
-
    4.1. Beta-distributed data <br>
    &emsp;&ensp; 4.1.1. *[Definition](/D/beta-data)* <br>
    &emsp;&ensp; 4.1.2. **[Method of moments](/P/beta-mome)** <br>
@@ -667,25 +679,13 @@ title: "Table of Contents"
    
    4.3. Beta-binomial data <br>
    &emsp;&ensp; 4.3.1. **[Method of moments](/P/betabin-mome)** <br>
-   
+
 5. Categorical data
    
-   5.1. Binomial observations <br>
-   &emsp;&ensp; 5.1.1. *[Definition](/D/bin-data)* <br>
-   &emsp;&ensp; 5.1.2. **[Conjugate prior distribution](/P/bin-prior)** <br>
-   &emsp;&ensp; 5.1.3. **[Posterior distribution](/P/bin-post)** <br>
-   &emsp;&ensp; 5.1.4. **[Log model evidence](/P/bin-lme)** <br>
-   
-   5.2. Multinomial observations <br>
-   &emsp;&ensp; 5.2.1. *[Definition](/D/mult-data)* <br>
-   &emsp;&ensp; 5.2.2. **[Conjugate prior distribution](/P/mult-prior)** <br>
-   &emsp;&ensp; 5.2.3. **[Posterior distribution](/P/mult-post)** <br>
-   &emsp;&ensp; 5.2.4. **[Log model evidence](/P/mult-lme)** <br>
-
-   5.3. Logistic regression <br>
-   &emsp;&ensp; 5.3.1. *[Definition](/D/logreg)* <br>
-   &emsp;&ensp; 5.3.2. **[Probability and log-odds](/P/logreg-pnlo)** <br>
-   &emsp;&ensp; 5.3.3. **[Log-odds and probability](/P/logreg-lonp)** <br>
+   5.1. Logistic regression <br>
+   &emsp;&ensp; 5.1.1. *[Definition](/D/logreg)* <br>
+   &emsp;&ensp; 5.1.2. **[Probability and log-odds](/P/logreg-pnlo)** <br>
+   &emsp;&ensp; 5.1.3. **[Log-odds and probability](/P/logreg-lonp)** <br>
 
 
 <br>
diff --git a/P/beta-mome.md b/P/beta-mome.md
@@ -9,7 +9,7 @@ date: 2020-01-22 02:53:00
 
 title: "Method of moments for beta-distributed data"
 chapter: "Statistical Models"
-section: "Probability data"
+section: "Frequency data"
 topic: "Beta-distributed data"
 theorem: "Method of moments"
 
diff --git a/P/betabin-mome.md b/P/betabin-mome.md
@@ -9,7 +9,7 @@ date: 2022-10-07 15:13:00
 
 title: "Method of moments for beta-binomial data"
 chapter: "Statistical Models"
-section: "Probability data"
+section: "Frequency data"
 topic: "Beta-binomial data"
 theorem: "Method of moments"
 
diff --git a/P/bin-lme.md b/P/bin-lme.md
@@ -9,7 +9,7 @@ date: 2020-01-24 00:44:00
 
 title: "Log model evidence for binomial observations"
 chapter: "Statistical Models"
-section: "Categorical data"
+section: "Count data"
 topic: "Binomial observations"
 theorem: "Log model evidence"
 
diff --git a/P/bin-post.md b/P/bin-post.md
@@ -9,7 +9,7 @@ date: 2020-01-24 00:20:00
 
 title: "Posterior distribution for binomial observations"
 chapter: "Statistical Models"
-section: "Categorical data"
+section: "Count data"
 topic: "Binomial observations"
 theorem: "Posterior distribution"
 
diff --git a/P/bin-prior.md b/P/bin-prior.md
@@ -9,7 +9,7 @@ date: 2020-01-23 23:38:00
 
 title: "Conjugate prior distribution for binomial observations"
 chapter: "Statistical Models"
-section: "Categorical data"
+section: "Count data"
 topic: "Binomial observations"
 theorem: "Conjugate prior distribution"
 
diff --git a/P/dir-mle.md b/P/dir-mle.md
@@ -9,7 +9,7 @@ date: 2020-10-22 09:31:00
 
 title: "Maximum likelihood estimation for Dirichlet-distributed data"
 chapter: "Statistical Models"
-section: "Probability data"
+section: "Frequency data"
 topic: "Dirichlet-distributed data"
 theorem: "Maximum likelihood estimation"
 
diff --git a/P/mult-lme.md b/P/mult-lme.md
@@ -9,7 +9,7 @@ date: 2020-03-11 15:17:00
 
 title: "Log model evidence for multinomial observations"
 chapter: "Statistical Models"
-section: "Categorical data"
+section: "Count data"
 topic: "Multinomial observations"
 theorem: "Log model evidence"
 
diff --git a/P/mult-post.md b/P/mult-post.md
@@ -9,7 +9,7 @@ date: 2020-03-11 14:40:00
 
 title: "Posterior distribution for multinomial observations"
 chapter: "Statistical Models"
-section: "Categorical data"
+section: "Count data"
 topic: "Multinomial observations"
 theorem: "Posterior distribution"
 
diff --git a/P/mult-prior.md b/P/mult-prior.md
@@ -9,7 +9,7 @@ date: 2020-03-11 14:15:00
 
 title: "Conjugate prior distribution for multinomial observations"
 chapter: "Statistical Models"
-section: "Categorical data"
+section: "Count data"
 topic: "Multinomial observations"
 theorem: "Conjugate prior distribution"
 
diff --git a/P/poiss-lme.md b/P/poiss-lme.md
@@ -9,7 +9,7 @@ date: 2020-04-21 09:09:00
 
 title: "Log model evidence for Poisson-distributed data"
 chapter: "Statistical Models"
-section: "Poisson data"
+section: "Count data"
 topic: "Poisson-distributed data"
 theorem: "Log model evidence"
 
diff --git a/P/poiss-mle.md b/P/poiss-mle.md
@@ -9,7 +9,7 @@ date: 2020-01-20 21:53:00
 
 title: "Maximum likelihood estimation for Poisson-distributed data"
 chapter: "Statistical Models"
-section: "Poisson data"
+section: "Count data"
 topic: "Poisson-distributed data"
 theorem: "Maximum likelihood estimation"
 
diff --git a/P/poiss-post.md b/P/poiss-post.md
@@ -9,7 +9,7 @@ date: 2020-04-21 08:48:00
 
 title: "Posterior distribution for Poisson-distributed data"
 chapter: "Statistical Models"
-section: "Poisson data"
+section: "Count data"
 topic: "Poisson-distributed data"
 theorem: "Posterior distribution"
 
diff --git a/P/poiss-prior.md b/P/poiss-prior.md
@@ -9,7 +9,7 @@ date: 2020-04-21 08:31:00
 
 title: "Conjugate prior distribution for Poisson-distributed data"
 chapter: "Statistical Models"
-section: "Poisson data"
+section: "Count data"
 topic: "Poisson-distributed data"
 theorem: "Conjugate prior distribution"
 
diff --git a/P/poissexp-lme.md b/P/poissexp-lme.md
@@ -9,7 +9,7 @@ date: 2020-02-04 15:12:00
 
 title: "Log model evidence for the Poisson distribution with exposure values"
 chapter: "Statistical Models"
-section: "Poisson data"
+section: "Count data"
 topic: "Poisson distribution with exposure values"
 theorem: "Log model evidence"
 
diff --git a/P/poissexp-mle.md b/P/poissexp-mle.md
@@ -9,7 +9,7 @@ date: 2021-04-16 11:42:00
 
 title: "Maximum likelihood estimation for the Poisson distribution with exposure values"
 chapter: "Statistical Models"
-section: "Poisson data"
+section: "Count data"
 topic: "Poisson distribution with exposure values"
 theorem: "Maximum likelihood estimation"
 
diff --git a/P/poissexp-post.md b/P/poissexp-post.md
@@ -9,7 +9,7 @@ date: 2020-02-04 14:42:00
 
 title: "Posterior distribution for the Poisson distribution with exposure values"
 chapter: "Statistical Models"
-section: "Poisson data"
+section: "Count data"
 topic: "Poisson distribution with exposure values"
 theorem: "Posterior distribution"
 
diff --git a/P/poissexp-prior.md b/P/poissexp-prior.md
@@ -9,7 +9,7 @@ date: 2020-02-04 14:11:00
 
 title: "Conjugate prior distribution for the Poisson distribution with exposure values"
 chapter: "Statistical Models"
-section: "Poisson data"
+section: "Count data"
 topic: "Poisson distribution with exposure values"
 theorem: "Conjugate prior distribution"
 
