270 search results for "ANova"

R 2.15.2 scheduled for October 26

October 2, 2012
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The next minor update to R — version 2.15.2 "Trick or Treat" — will be released on October 26, R-core member Peter Dalgaard announced today. You can find the planned updates in the current NEWS file (scroll down to the section 'CHANGES IN R VERSION 2.15.1 patched'; the changes at the top of the file are planned for the...

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Football, an ordinal model

September 30, 2012
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Football, an ordinal model

On September 19th, flo2speak remarked under a post that his/her experience is that ordinal models had better performance. That seems reason enough to try, so there we are. In examining this type of model it is found that more complex models can be...

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Power Analysis and the Probability of Errors

September 22, 2012
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Power Analysis and the Probability of Errors

Power analysis is a very useful tool to estimate the statistical power from a study. It effectively allows a researcher to determine the needed sample size in order to obtained the required statistical power. Clients often ask (and rightfully so) what the sample size should be for a proposed project. Sample sizes end up being

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Some helps for running and evaluating Bayesian regression models

September 21, 2012
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Around two years ago, I suddenly realized my statistical training had a great big Bayes-shaped hole in it. My formal education in statistics was pretty narrow – I got my degree in anthropology, a discipline not exactly known for its rigorously systematic analytic methods. I learned the basics of linear models and principal components analysis

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Football model

September 16, 2012
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Football model

After reading Dutch football data (Eeredivisie 2011-2012) and making a predictions display it is time to look at a few simple models to predict goals. To reiterate the data setup, each game played consists of two rows in the data frame. ...

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Item Response Theory: Developing Your Intuition

September 10, 2012
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Item Response Theory: Developing Your Intuition

Suppose that you accepted my argument from the last two posts on halo effects and bifactor models.  As you might recall, I argued that when respondents complete rating scales, they predominating rely on their generalized impression with a more minor role played by the specific features that the ratings were written to measure.  Consequently, we...

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Data analysis using R – course in Essex

August 24, 2012
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Data analysis using R – course in Essex

This course is running 1-5 October at the University of Essex. There doesn’t seem to be a website but you register by writing to [email protected] Here’s what they say in their e-mail: Lecturers: Dr Werner Adler (University of Erlangen-Nuremberg; Co-author … Continue reading →

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INLA: Bayes goes to Norway

August 15, 2012
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INLA: Bayes goes to Norway

INLA is not the Norwegian answer to ABBA; that would probably be a-ha. INLA is the answer to ‘Why do I have enough time to cook a three-course meal while running MCMC analyses?”. Integrated Nested Laplace Approximations (INLA) is based … Continue reading →

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The Relative Importance of Predictors – Let the Games Begin!

August 9, 2012
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The Relative Importance of Predictors – Let the Games Begin!

What's the one thing we need to do?Marketing researchers are asked this question frequently whenever they analyze customer satisfaction data.  A company wishing to increase sales or limit churn wants to focus only on the most important determinants of those outcomes.   Given the limitations imposed by the available customer survey data, this strategic question is transformed quickly into a methodological one concerning how...

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Adventures at My First JSM (Joint Statistical Meetings) #JSM2012

August 6, 2012
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Adventures at My First JSM (Joint Statistical Meetings) #JSM2012

During the past few decades that I have been in graduate school (no, not literally) I have boycotted JSM on the notion that “I am not a statistician.” Ok, I am a renegade statistician, a statistician by training. JSM 2012 was held in San Diego, CA, one of the best places to spend a week during the summer. This...

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