Comments on: An email conversation with ZeroHedge’s Tyler Durden, Oct. 28, 2010 http://etf-central.com/2010/10/28/an-email-conversation-with-zerohedges-tyler-durden-oct-28-2010/ Fast-paced market news, analysis, and discussion - Michael J. Bommarito II Sun, 15 Apr 2012 03:42:02 +0000 hourly 1 http://wordpress.org/?v=3.3.1 By: Michael Bommarito http://etf-central.com/2010/10/28/an-email-conversation-with-zerohedges-tyler-durden-oct-28-2010/#comment-9 Michael Bommarito Thu, 28 Oct 2010 18:30:18 +0000 http://etf-central.com/?p=307#comment-9 Fair point, but isn't the burden on the person trying to prove the claim in the first point? If science ran this way without Occam's razor, I could get away with arguing that jellyfish are responsible for the creation of the moon. It is possible that I misinterpreted his implication. Anyway, if he had understood the post, he would have seen that there is very weak support for rejecting H_0: \beta = 0, as I show in the first regression. You have to accept a pretty p-value near 0.1, but in this very simple GLM setup the estimate - s.e. is positive. Fair point, but isn’t the burden on the person trying to prove the claim in the first point? If science ran this way without Occam’s razor, I could get away with arguing that jellyfish are responsible for the creation of the moon. It is possible that I misinterpreted his implication.

Anyway, if he had understood the post, he would have seen that there is very weak support for rejecting H_0: \beta = 0, as I show in the first regression. You have to accept a pretty p-value near 0.1, but in this very simple GLM setup the estimate – s.e. is positive.

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By: Osikani http://etf-central.com/2010/10/28/an-email-conversation-with-zerohedges-tyler-durden-oct-28-2010/#comment-8 Osikani Thu, 28 Oct 2010 18:14:50 +0000 http://etf-central.com/?p=307#comment-8 The "null hypothesis" is the converse of whatever you wish to test, so it CAN be true, if you are testing the falsity of the proposition. The “null hypothesis” is the converse of whatever you wish to test, so it CAN be true, if you are testing the falsity of the proposition.

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