2. You divert occasionally. ]]>

Anyway, at least you understand where he got the grist for the remark from now. I will spare you from a contracts lawyer discussion of should, must, may, shall, will and the like. ;)

]]>VZ did not analyze the impact of the MBH98 method on MBH98 proxies and, since their replication of MBH98 methods was flawed, does not show that problems with MBH98 PC methodology did not matter." [Response: I have also read a number of posts on climateaudit.org, and I think that a large fraction of what it has to say is mumbo-jumbo. Take for instance the statement that since they used an annual mean value, they should use discrete wavelet anaysis (post on Moberg’s work). This doesn’t make sense. Furthermore, it has a go at the iid-test, but without making any point – just insinuations. To my mind, one of the classic examples of how they twist the logic can be found in Are Temperature Trends affected by Economic Activity?. -rasmus]

Rasmus does not rebut the actual point. Instead of dealing with whether VZ had analyzed the impact on MBH, Rasmus picks at a tangential point buried halfway down in one of over 300 posts here. Then he brings up a paper that I had nothing to do with. All too typical.

]]>All of these series are annual series and so a discrete wavelet transform is much more in keeping with the data.

This is what Rasmus reacted to.

]]>Mark

]]>Re #52: Rasmus at realclimate misquoted and slagged me in respect to my use of discrete wavelets here. He said that I claimed that discrete wavelets “should” be used because the data is annual, a claim which he said made no sense. I obviously didn’t say that there was any obligation to use discrete wavelets; on the other hand, I find the information about the proxies in the discrete graphs above to be more helpful than the CWT wavelet diagram illustrated in Moberg. I don’t see anything wrong with that.

]]>Either way, I’m unsure how one would go about implementing a true CWT using discrete data.

Mark

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