1741 search results for "regression"

Natura non facit saltus

February 5, 2013
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$\mathbb{E}_{\mathbb{P}}\left(\sum_{i=1}^N Y_i\right)=\mathbb{E}_{\mathbb{P}}(N) \cdot \mathbb{E}_{\mathbb{P}}(Y_i)$

(see John Wilkins’ article on the – interesting – history of that phrase http://scienceblogs.com/evolvingthoughts/…). We will see, this week in class, several smoothing techniques, for insurance ratemaking. As a starting point, assume that we do not want to use segmentation techniques: everyone will pay exactly the same price. no segmentation of the premium And that price should be related to...

Proposed techniques for communicating the amount of information contained in a statistical result

February 5, 2013
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$Proposed techniques for communicating the amount of information contained in a statistical result$

A couple of weeks ago, I posted about how much we can expect to learn about the state of the world on the basis of a statistical significance test. One way of framing this question is: if we’re trying to come to scientific conclusions on the basis of statistical results, how much can we update

Proposed techniques for communicating the amount of information contained in a statistical result

February 4, 2013
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$Proposed techniques for communicating the amount of information contained in a statistical result$

A couple of weeks ago, I posted about how much we can expect to learn about the state of the world on the basis of a statistical significance test. One way of framing this question is: if we’re trying to come to scientific conclusions on the basis of statistical results, how much can we update

"I don’t wanna grow up": Age / value relationships for football players

February 1, 2013
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Let's get back to the age-value relationship from my last post. I did some more plotting to see on which position this inversed U-shaped relationship is strongest. Please note, that I use a dataframe called eu.players throughout this post, which holds downloaded football player information from transfermarkt.de.But first, let us get back to the original graph.

Taking Expectations to the Next Level

January 31, 2013
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Higher Expectations I came across this post on Thursday and found it to be quite interesting. Clearly rental prices vary according to where you live. That isn't too surprising. I started thinking a bit more about it and thought that Boston and the nearby communities would have to...

January 30, 2013
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A Problem A major problem in secondary data analysis is that you didn't get to decide what data was collected. Lets say you were interested in how many times a student has read the Twilight books). Specifically, you want to know how effective the ads for...

F1Stats – Visually Comparing Qualifying and Grid Positions with Race Classification

January 30, 2013
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Following the roundabout tour of F1Stats – A Prequel to Getting Started With Rank Correlations, here’s a walk through of my attempt to replicate the first part of A Tale of Two

Modeling Residential Electricity Usage with R

January 30, 2013
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Wow, I can’t believe it has been 11 months since my last blog posting!  The next series of postings will be related to the retail energy field.  Residential power usage is satisfying to model as it can be forecast fairly accurately with the right inputs.  Partly as a consequence of deregulation there is now more data more available than...

Disruptive Data Science – Transforming Your Company into a Data Science-Driven Enterprise

January 29, 2013
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Big Data is the latest technology wave impacting C-Level executives across all areas of business, but amid the hype, there remains confusion about what it all means. The name emphasizes the exponential growth of data volumes worldwide (collectively, 5 Exabytes/ day in the latest estimate I saw from IDC), but more nuanced definitions of Big Data incorporate the following...