Posts Tagged ‘ Book reviews ’

books for review (in CHANCE)

September 13, 2012
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books for review (in CHANCE)

Among the books I received for review in CHANCE, here are some neither I nor my “usual suspects” had enough time or interest in to review: R Graphics (second edition) by Paul Murrell Biostatistics: A computing approach by Stewart Anderson Advanced Bayesian methods for medical test accuracy by Lyle Broemeling Introduction to Probability with Texas

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back from down under

August 29, 2012
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back from down under

After a sunny weekend to unpack and unwind, I am now back to my normal schedule, on my way to Paris-Dauphine for an R (second-chance) exam. Except for confusing my turn signal for my wiper, thanks to two weeks of intensive driving in four Australian states!, things are thus back to “normal”, meaning that I

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1500th, 3000th, &tc

January 7, 2012
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1500th, 3000th, &tc

As the ‘Og reached its 1500th post and 3000th comment at exactly the same time, a wee and only mildly interesting Sunday morning foray in what was posted so far and attracted the most attention (using the statistics provided by wordpress). The most visited posts: Title Views Home page 203,727 In{s}a(ne)!! 7,422 “simply start over

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quantum forest

December 1, 2011
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quantum forest

Thanks to a link on R-bloggers, I was introduced to Luis Apiolaza’s blog, Quantum Forest, which covers data analyses and R comments he encounters in his research as a quantitative forester/geneticist. And he works at the University of Canterbury, Christchurch, where I first taught from Bayesian Core in 2006. Which may be why he chose

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Bayesian Computation with R – Albert (2009)

October 4, 2011
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Title: Bayesian Computation with RAuthor(s): Jim AlbertPublisher/Date: Springer/2009Statistics level: High Programming level: Low Overall recommendation: Recommended Bayesian Computation with R focuses primarily on providing the reader with a basic un...

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Bayesian Computation with R – Albert (2009)

October 4, 2011
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Bayesian Computation with R – Albert (2009)

Title: Bayesian Computation with RAuthor(s): Jim AlbertPublisher/Date: Springer/2009Statistics level: High Programming level: Low Overall recommendation: Recommended Bayesian Computation with R focuses primarily on providing the reader with a basic understanding of Bayesian thinking and the relevant analytic tools included in R. It does not explore either of those areas in detail, though it does hit The post Bayesian...

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Posts of the year

August 30, 2011
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Posts of the year

Like last year, here are the most popular posts since last August: Home page 92,982 In{s}a(ne)!! 6,803 “simply start over and build something better” 5,834 Julien on R shortcomings 2,373 Parallel processing of independent Metropolis-Hastings algorithms 1,455 Do we need an integrated Bayesian/likelihood inference? 1,361 Coincidence in lotteries 1,256 #2 blog for the statistics geek?! 863

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Free Online Statistics Books

June 5, 2010
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Free Online Statistics Books

Sources as varied as Google's Chief Economist Hal Varian and threatening online personalty (offensive language warning) Zed Shaw have recognized a growing need for professionals with solid statistical skills to meet the technical challenges facing the ...

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“Programming with Data – a Guide to the S Language” by John Chambers

June 5, 2010
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“Programming with Data – a Guide to the S Language” by John Chambers

Another unashamedly subjective book review - but first a little more about my history as it relates to R...A few years ago, I was doing some systems administration work at an industrial company for whom IT was a cost center. I wanted to illustrate to...

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Introductory Statistics with R

June 3, 2010
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Introductory Statistics with R

I am in the process of reading several books on R, S or statistics. I can't say that I have completed any of these - at least to the depth that I would like to... but I have found them helpful up to this point in various ways. I'll add to these book...

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