Rel 4.4.5 - Doc updates

Author: goedman

docs/src/references.md

@@ -10,9 +10,7 @@ There is no shortage of additional good books on Bayesian statistics. A few of m
 
 3. [Bolstad: Understanding Computational Bayesian Statistics](http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470046090.html)
 
-4.a [Gelman, Hill: Data Analysis Using Regression and Multilevel/Hierarchical Models](http://www.stat.columbia.edu/~gelman/arm/)
-
-4.b [Gelman, Hill, Vehtari: Rgression and other stories](https://www.cambridge.org/highereducation/books/regression-and-other-stories/DD20DD6C9057118581076E54E40C372C#overview)
+4. [Gelman, Hill: Data Analysis Using Regression and Multilevel/Hierarchical Models](http://www.stat.columbia.edu/~gelman/arm/)
 
 5. [Kruschke: Doing Bayesian Data Analysis](https://sites.google.com/site/doingbayesiandataanalysis/what-s-new-in-2nd-ed)
 
@@ -24,4 +22,10 @@ There is no shortage of additional good books on Bayesian statistics. A few of m
 
 9. [Betancourt: A Conceptual Introduction to Hamiltonian Monte Carlo](https://arxiv.org/abs/1701.02434)
 
-10. [Pearl, Mackenzie: The Book of Why](https://www.basicbooks.com/titles/judea-pearl/the-book-of-why/9780465097616/)
+10. [Pearl, Mackenzie: The Book of Why](https://www.basicbooks.com/titles/judea-pearl/the-book-of-why/9780465097616/)
+
+Special mention is appropriate for the new book:
+
+11. [Gelman, Hill, Vehtari: Rgression and other stories](https://www.cambridge.org/highereducation/books/regression-and-other-stories/DD20DD6C9057118581076E54E40C372C#overview)
+
+which in a sense is a major update to item 4. above.

docs/src/srgithub.md

@@ -40,11 +40,11 @@ Also, an attempt has been made to make StatisticalRethinking.jl fit better with
 
 Currently visual options are StatsPlots/Plots based, e.g. in MCMCChains.jl and StatisticalRethinkingPlots.jl.
 
-5. The above 4 items could all be done by just using StanSample.jl or Turing.jl.
+The above 4 items could all be done by just using StanSample.jl or Turing.jl.
 
 **The book Statistical Rethinking has a different objective and studies how models compare, how models can help (or mislead) and why multilevel modeling might help in some cases.**
 
-6. For this, additional packages are available, explained and demonstrated, e.g. StructuralCausalModels.jl, ParetoSmoothedImportanceSampling.jl and quite a few more.
+For this, additional packages are available, explained and demonstrated, e.g. StructuralCausalModels.jl, ParetoSmoothedImportanceSampling.jl and quite a few more.
 
 ## How to use StatisticalRethinking.jl