Posted inStatistics
Time Series And Causality: Global Warming Example
Temperature causes Here is an atmospheric monthly average temperature series: T = (61, 69, 69, 70, 72, 65, 63) (all F). What caused the temperature to take the value T1…
Posted inStatistics
Time Series Aren’t Easy: Tornado Deaths Example
Time series are the most abused statistics in the physical sciences. (It's an endless, raucous, peer-reviewed contest for the worst in the "soft sciences.") The Mann problem (is that a…
Posted inStatistics
How To Properly Handle Proxy Time Series Reconstructions
This is all made up data, so as not to hurt anybody's feelings. Also, this is a sketch. Everything can't be done in 700 words. We are interested in the…
Posted inStatistics
(Most) Everything Wrong With Time Series
It came out at my recent meeting that a compilation of everything wrong with time series was in order. A lot of this I've done before, and so, just as…
Posted inPhilosophy Statistics
The Data Is The Data, Not The Model: With Climatology Time Series Example
How not to plot The following plot was sent to me yesterday for comment. I cannot disclose the sender, nor the nature of the data, but neither of these are…
Posted inPhilosophy Statistics
Let’s Try This Time Series Thing Again: Part V
Part I, II, III, IV, V. We started by assuming each X was measured without error, that each observation was perfectly certain. This is not always so for real X.…
Posted inPhilosophy Statistics
Let’s Try This Time Series Thing Again: Part IV
Part I, II, III, IV, V. We have before us X1 to X156. We started by assuming that something, called T, caused these data to take the values it did.…
Posted inPhilosophy Statistics
Let’s Try This Time Series Thing Again: Part III
Part I, II, III, IV, V. The objection which will occur to those, Lord help them, who have had some statistical training is that "increased" means a combination of "linear…