Tag Archives: random effects

A Mixed Effects Perspective on MMH10

Today’s post is complementary to MMH10, which, as readers obviously realize, is in Ross’ excellent style. There has been a kneejerk reaction from climate scientists that the article is “wrong” – typically assuming that we have neglected some trivial Santerism (which we haven’t). This post is NOT – repeat NOT – an explication of MMH10. […]

World Dendro 2010 Withdraws Invitation

On December 8, 2009, I received one of my rare invitations to make a presentation to climate scientists – a keynote speech at the plenary session on June 16, 2010 of World Dendro 2010. At the time they had received almost 500 abstracts. It was proposed that I speak on a program chaired by Achim […]

Hansen’s “Reference Method” in a Statistical Context

I’ve discussed “mixed effects” methods from time to time in paleoclimate contexts, observing that this statistical method known off the Island can provide a context for some paleoclimate recipes, e.g. in making tree ring chronologies. This would make a pretty good article. Another interesting example of this technique, which would also make a pretty good […]

Tree Ring Standardization – A Linear Mixed Effects Perspective

I’ve already received my first condescending comments from the dendro world about the mysteries of standardization. Just to pre-empt some further pontification presuming that I know nothing about these mysteries, I’m posting up some notes that I wrote in 2004 on standardization – which was what I would have been working on had people just […]

Benchmarking from VZ Pseudoproxies

Von Storch et al 2004 advocated using climate models to generate pseudoproxies to test the properties of proposed multivariate methods. Hardly unreasonable. I might argue that these are long-winded ways of generating proxy series with certain kinds of temporal and spatial covariance structures, but there’s much to be said for testing methods on some standard […]

The Proxies of Osborn and Briffa [2006]

David Stockwell was intrigued by the seeming “robustness” of O&B results. There’s a reason for it: pretty much every one of the stereotyped Hockey Team proxies that are common to multiple studies are included in the O&B collation: bristlecones, Briffa’s re-processed series, Thompson’s Dunde and Guliya, Jacoby’s Mongolia. Pretty much every rascal has been gathered […]

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