Monthly Archives: July 2008

R books

July 30, 2008
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R books

Amazon.com Widgets

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R books

July 30, 2008
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Amazon.com Widgets

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How to Recover the Missing X(1) for the USL Scalability Model

July 29, 2008
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How to Recover the Missing X(1) for the USL Scalability Model

When it comes to assessing application scalability, controlled measurements of the type that can be obtained with tools like Grinder or LoadRunner, are very useful because they provide a direct measurement of the throughput, X(N), as a function of the...

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download option price data from Yahoo

This R program can be used to download option price data from Yahoo to a data frame and to plot the corresponding implied-volatility smiles. http://www.math.tu-berlin.de/~mkeller/index.php?target=rcodeTags - download , data , optionRead the full post ...

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Quantile Regression

Quantile regression is a statistical technique intended to estimate, and conduct inference about, conditional quantile functions. Just as classical linear regression methods based on minimizing sums of squared residuals enable one to estimate models f...

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What is faster, Winbugs or Openbugs?

July 14, 2008
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Sandra McBride writes: My current model (in Winbugs) runs very slowly on my very slow laptop, so I am getting a new desktop. Here are some questions in the hopes of speeding up my model: Is Winbugs or Openbugs multithreaded?...

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Guerrilla Data Analysis Class – Seats Still Available

July 14, 2008
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Guerrilla Data Analysis Class – Seats Still Available

Most operating systems are capable of collecting hundreds of system and performance metrics every second. Even if you only record them once an hour, after a week you will have more than 50,000 samples; after a month you will be staring at almost a quar...

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Get your R on

July 14, 2008
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Get your R on

useR! CONFERENCE, AUGUST 12-14 2008, DORTMUND GERMANYImpressive statistical computing types like Andrew Gelman, Gary King, and others will be presenting at this year’s useR! conference. Decision Science News might just have to hop over and check it out. The program looks great. Those interested in learning R might be interested in our Decision Science News

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