1415 search results for "regression"

Comparing correlations: independent and dependent (overlapping or non-overlapping)

February 5, 2012
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Comparing correlations: independent and dependent (overlapping or non-overlapping)

In Chapter 6 (correlation and covariance) I consider how to construct a confidence interval (CI) for the difference between two independent correlations.  The standard approach uses the Fisher z transformation to deal with boundary effects (the squashing of the distribution and increasing asymmetry as r approaches -1 or 1). As zr is approximately normally distributed

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Multiple Factor Model – Building Fundamental Factors

February 4, 2012
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Multiple Factor Model – Building Fundamental Factors

This is the second post in the series about Multiple Factor Models. I will build on the code presented in the prior post, Multiple Factor Model – Fundamental Data, and I will show how to build Fundamental factors described in the CSFB Alpha Factor Framework. For details of the CSFB Alpha Factor Framework please read

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Why don’t we hear more about Adrian Dantley on ESPN? This graph makes me think he was as good an offensive player as Michael Jordan.

February 3, 2012
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Why don’t we hear more about Adrian Dantley on ESPN? This graph makes me think he was as good an offensive player as Michael Jordan.

In my last post I complained about efficiency not being discussed enough by NBA announcers and commentators. I pointed out that some of the best scorers have relatively low FG% or TS%. However, via the comments it was pointed out that top scorers need ...

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On linear models with no constant and R2

February 2, 2012
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On linear models with no constant and R2

In econometrics course we always say to our students that "if you fit a linear model with no constant, then you might have trouble. For instance, you might have a negative R-squared". So I tried to find databases on the internet such that, when we ...

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Analytic applications are built by data scientists

February 1, 2012
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Ventana Research analyst David Menninger was on the judging panel for the Applications of R in Business contest. In a post on the Ventana research blog, he offers his perspectives on the contest, noting that R, as a statistical package, includes many algorithms for predictive analytics, including regression, clustering, classification, text mining and other techniques. The contest submissions supported...

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Confirming SSR, SSE, and SST using matrix in R

February 1, 2012
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Confirming SSR, SSE, and SST using matrix in R

The codes below was done in our regression laboratory class. Here, we run first the data in SPSS, and take the ANOVA output where we can find the computed values of SSR, SSE, and SST.ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regress...

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Surfaces in ternary plots

January 31, 2012
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Surfaces in ternary plots

In mixture experiments there is a constraint that the variables are the proportions of components that are mixed together with the consequence that these proportions sum to one. When fitting regression models to data from mixture experiments we may be interested in reprenting the fitted model with a surface plot. The constraint on proportions means

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the Art of R Programming [guest post]

January 30, 2012
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the Art of R Programming [guest post]

(This post is the preliminary version of a book review by Alessandra Iacobucci, to appear in CHANCE. Enjoy !) As Rob J. Hyndman enthusiastically declares in his blog, “this is a gem of a book”. I would go even further and argue that The Art of R programming is a

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SAS Macro Simplifies SAS and R integration

January 26, 2012
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SAS Macro Simplifies SAS and R integration

Many of us feel very enthusiastic about R. It's free, it features cutting edge applications, it has a large community of users contributing for mutual benefit, and on and on. There are also many things to like about SAS, including stability, backwards...

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GIBBS us a break

January 19, 2012
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So you want to run R in the cloud so you can set your Gibbs sampling off, forget about it, and not be paranoid about power cuts and reboots. Andrew Gelman hosted a good debate on the pros and cons of R in the cloud on his blog.The consensus seems to be RStudio and EC2. P.S. If...

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