1495 search results for "Regression"

Q-Q Plots for Multi-modal Performance Data

August 3, 2011
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Q-Q Plots for Multi-modal Performance Data

I'm in the process of putting together some slides on how to apply Quantile-Quantile plots to performance data. Q-Q plots are a handy tool for visually inspecting how well your data matches a known probability distribution (prob dsn). If the match is g...

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How Google uses R to make online advertising more effective

August 3, 2011
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At JSM 2011 today, three Google employees (amongst the more than 20 Google delegates there) gave a little insight into how statistical analysis with R yields better results for companies using Google's various advertising products. Bill Heavlin from Google kicked off the session with a talk about conditional regression models, a statistical technique at Google used to evaluate the...

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Dividend Quartiles with Kenneth French Data

August 1, 2011
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Dividend Quartiles with Kenneth French Data

Based on my perception of the last 3 years, I would have expected high dividend stocks to have substantially underperformed low and zero dividend stocks.  Fortunately, just like with size and momentum in Beating Kenneth French Small – High, we c...

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[R][ggplot2][R-bloggers]RcmdrPlugin.KMggplot2_0.0-3 is on CRAN now

July 28, 2011
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[R][ggplot2][R-bloggers]RcmdrPlugin.KMggplot2_0.0-3 is on CRAN now

RcmdrPlugin.KMggplot2 (CRAN) I posted an Rcmdr plug-in for a ”ggplot2” GUI front-end on CRAN. This version supports Kaplan-Meier plot and other plots as follow: Kaplan-Meier plot Show no. at risk on inside Show no. at risk table on outside Histogram Colo

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Core not in CiRM

July 27, 2011
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Core not in CiRM

Despite not enjoying this year the optimal environment of CiRM, we are still making good progress on the revision (or the R vision) of Bayesian Core. In the past two days, we went over Chapters 1 (Introduction), 2 (Normal Models), 5 (Capture-Recapture Experiments), and 6 (Mixture Models), with Chapters 3 (Regression), 4 (Generalised Linear Models)

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Smoothing temporally correlated data

July 21, 2011
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Smoothing temporally correlated data

Something I have been doing a lot of work with recently are time series data, to which I have been fitting additive models to describe trends and other features of the data. When modelling temporally dependent data, we often need … Continue reading →

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Smoothing temporally correlated data

July 21, 2011
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Smoothing temporally correlated data

Something I have been doing a lot of work with recently are time series data, to which I have been fitting additive models to describe trends and other features of the data. When modelling temporally dependent data, we often need to adjust our fitted models to account for the lack of independence in the model residuals. When smoothing such...

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Model Validation: Interpreting Residual Plots

July 18, 2011
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Model Validation: Interpreting Residual Plots

When conducting any statistical analysis it is important to evaluate how well the model fits the data and that the data meet the assumptions of the model. There are numerous ways to do this and a variety of statistical tests to evaluate deviations from model assumptions. However, there is little general acceptance of any of the statistical tests. Generally...

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Correlation Resources: SPSS, R, Causality, Interpretation, and APA Style Reporting

July 17, 2011
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This post provides links to a range of resources related to the use and interpretation of correlations. I wanted to provide a page with links to a number of additional resources that would be useful both for those of my students who might be keen to le...

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Mixture distributions and models: a clarification

Mixture distributions and models: a clarification

In response to my last post, Chris had the following comment:           I am actually trying to better understand the distinction between mixture models and mixture distributions in my own work.  You seem to say mixture models apply to a small set of models – namely regression models.This comment suggests that my caution about the difference between mixed-effect models and mixture distributions...

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