## Oh, mr counselor!

Xm…

There were two men trying to decide what to do for a living. They went to see a counselor, and he decided that they had good problem solving skills.

He tried a test to narrow the area of specialty. He put each man in a room with a stove, a table, and a pot of water on the table. He said “Boil the water”. Both men moved the pot from the table to the stove and turned on the burner to boil the water. Next, he put them into a room with a stove, a table, and a pot of water on the floor. Again, he said “Boil the water”. The first man put the pot on the stove and turned on the burner. The counselor told him to be an Engineer, because he could solve each problem individually. The second man moved the pot from the floor to the table, and then moved the pot from the table to the stove and turned on the burner. The counselor told him to be a mathematician because he reduced the problem to a previously solved problem.

– From The Mathematician, The Physicist and The Engineer (and Others)

## lme4 stands 4 Linear mixed-effects…

There is a certain hype about mixed (and random) effects among statistician and analysts. You can show some love to Douglas Bates and Martin Maechler for maintaing the lme4 package for our cupid, R 😉

I copy the entity of the information of the projects page.

Doxygendocumentation of the underlying C functions ishere.The

project summary pageyou can findhere.

References to articles and other research using nlme or lme4can be foundhere. The LaTeX bibliography file can be accessed from here. If you would like to add your work to this database, please email vasishth.shravan at gmail dot com

Slidesfrom short courses on lme4 arehere.

Chapter draftsof the booklme4: Mixed-effects Modeling with Rare availablehere.

To complete this quick post, I append the following vignettes.

Implementation Details

PLS vs GLS for LMMs

Computational Methods[source]

## [Paul E Pfeiffer] Applied Probability

I must admit that I have a pretty complete electronic library from the giant publishing acts. Yet, from time to time, course notes are better to skim through as they tenf to get more practical (or cookbok if you want to!). The trend nowasays is to supplement everything with code or software packages. this is definetely a good thing with the exception that decent treory books of intermediate level are to cast to the ends of earth.

A good book on (applied) probability got into my mailbox. It’s Paul E Pfeiffer’s Applied Probability book spice up with Matlab code. I would definetely recommend this to intermediate students.

## [S. Lynch] Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

Well, that’s a good book that you shouldn’t miss “Introduction to Applied Bayesian Statistics and Estimation for Social Scientists”. Why you shouldn’t miss it? Coz, it’s practical and I mean p r a c t i c a l big time!!!

I don’t own tons of (traditionally) printed books but that’s one of the few breaking the rule. I easily rank it above The Bayesian Core…

First stop at all costs the book’s webpage to download the R & Winbugs code…

Springer | Amazon | Google Books | S. Lynch | Book Page