1537 search results for "Regression"

Programmers Should Know R

August 6, 2011
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Programmers Should Know R

Programmers should definitely know how to use R. I don’t mean they should switch from their current language to R, but they should think of R as a handy tool during development.Again and again I find myself working with Java code like the following. td.linenos { background-color: #f0f0f0; padding-right: 10px; } span.lineno { background-color: #f0f0f0; Related posts:

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Does Jon Skeet have mental powers that make us upvote his answers? (The effect of reputation on upvotes)

August 4, 2011
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Does Jon Skeet have mental powers that make us upvote his answers? (The effect of reputation on upvotes)

Of course since we all know Jon Skeet does have various powers, I will move onto unanswered questions, whether a users reputation makes them receive more upvotes for answers. I’ve seen this theory mentioned in multiple places (see any of the comments to Jon Skeet’s answer that are along the lines of “If this was

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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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