Interesting thoughts from JSM

Several interesting random thoughts from JSM: From a session by Freeda Cooner entitled, “Bayesian statistics are powerful, not magical” ways in which Bayes results could be slanted (one hopes unwittingly) were discussed. One point worth

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Several interesting random thoughts from JSM: From a session by Freeda Cooner entitled, “Bayesian statistics are powerful, not magical” ways in which Bayes results could be slanted (one hopes unwittingly) were discussed. One point worth

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Spam for Stupid People

Seriously, how weird must you be to fall for this shit? Normally spam is just annoying but today I got one that I cannot imagine anyone could be stupid enough to fall for. It was

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Seriously, how weird must you be to fall for this shit? Normally spam is just annoying but today I got one that I cannot imagine anyone could be stupid enough to fall for. It was

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SAS Enterprise Miner: The Best Case Scenario

I’m in North Carolina this week at a class for professors on Advanced Predictive Modeling using SAS Enterprise Miner. This is the sort of statement that causes The Spoiled One & Co. to make faces

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I’m in North Carolina this week at a class for professors on Advanced Predictive Modeling using SAS Enterprise Miner. This is the sort of statement that causes The Spoiled One & Co. to make faces

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SAS On-Demand Needs You to be Reasonable

Tried reading in a file with 360,000+ records times 279 variables with SAS On-Demand using SAS Enterprise Guide. It was on one of my office computers that has a pretty slow Internet connection. I was

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Tried reading in a file with 360,000+ records times 279 variables with SAS On-Demand using SAS Enterprise Guide. It was on one of my office computers that has a pretty slow Internet connection. I was

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Computer Game Design: What I Know Now

These days, about half of my time is spent in management and collaboration, a fourth on writing code for a game and the remaining fourth on statistical analysis. This isn’t how I’d choose to divide

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These days, about half of my time is spent in management and collaboration, a fourth on writing code for a game and the remaining fourth on statistical analysis. This isn’t how I’d choose to divide

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Starting with Perfect Data from SASHELP

More than once, I have said that I would never hire someone right out of graduate school. My reason is that graduate students come expecting perfect data sets to analyze, with no data entry errors,

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More than once, I have said that I would never hire someone right out of graduate school. My reason is that graduate students come expecting perfect data sets to analyze, with no data entry errors,

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Learning Statistics with SAS Enterprise Guide/ SAS On-Demand

Lately, I have been ignoring lots of good advice. I ignored the rocket scientist who told me I write too much about that statistical software thing whatever it is and that maybe I should write

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Lately, I have been ignoring lots of good advice. I ignored the rocket scientist who told me I write too much about that statistical software thing whatever it is and that maybe I should write

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The Comfort of the Lives We have Made

My father passed away about 18 months ago. We hadn’t spoken much of the past 40 years, for reasons that aren’t at all important any more. My mother is living alone now for the first

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My father passed away about 18 months ago. We hadn’t spoken much of the past 40 years, for reasons that aren’t at all important any more. My mother is living alone now for the first

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Changing SAS Enterprise Guide Data File

With the new SAS On-Demand for Academics, I presume there will be a lot of professors who have a teaching assistant, research assistant or intern preparing the data for examples for their classes. Or, you

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With the new SAS On-Demand for Academics, I presume there will be a lot of professors who have a teaching assistant, research assistant or intern preparing the data for examples for their classes. Or, you

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Choosing the Right Propensity Score Method: A statistics fable

Once upon a time there were statisticians who thought the answer to everything was to be as precise, correct and “bleeding edge” as possible. If their analyses were precise to 12 decimal places instead of

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Once upon a time there were statisticians who thought the answer to everything was to be as precise, correct and “bleeding edge” as possible. If their analyses were precise to 12 decimal places instead of

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