The Scott Brown, Martha Coakley race is over. The results are not surprising nor undesirable. This is because anybody who dares call another—close your eyes if you cannot stand foul language—a Yankee […]
Predictive Statistics: GPA Case Study, Part I
Read Part II : Download the Quirk’s article. Predictive statistics differs from classical (frequentist and Bayesian) practices because it focuses on observables and not metaphysical entities. Observables are the data we can […]
Predictive Statistics: GPA Case Study, Part II
Read Part I : Download the Quirk’s article. To understand why ordinary regression assumptions are bad, we need to look at some (new data) scenarios. Suppose that Bob had a HGPA of […]
Has atmospheric CO2 decreased? A different way to look at CO2 changes
Joe Daleo, the number one guy over at Icecap.us, recently sent me the CDIAC (ice core) CO2 data as criticized in Beck (2007) and asked me what I made of it. Now, […]
How to look at the RSS satellite-derived temperature data
It’s already well known that the Remote Sensing Systems satellite-derived temperature data has released the January figures: the finding is that it’s colder this January than it has been for some time. […]
Statistics’ dirtiest secret
The old saying that “You can prove anything using statistics” isn’t true. It is a lie, and a damned lie, at that. It is an ugly, vicious, scurrilous distortion, undoubtedly promulgated by […]
Example of how easy it is to mislead yourself: stepwise regression
I am, of course, a statistician. So perhaps it will seem unusual to you when I say I wish there were fewer statistics done. And by that I mean that I’d like […]
You cannot measure a mean
I often say—it is even the main theme of this blog—that people are too certain. This is especially true when people report results from classical statistics, or use classical methods when implementing […]
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