jzs said:Bully, seek the attention you desperately need, elsewhere.
WOLF! WOLF!
jzs said:Bully, seek the attention you desperately need, elsewhere.
jzs said:And the chihuahua wets himself..
Still no data to back up his negative claims.
What negative claim am I making? My claim is that if they do not establish that the output of the REGs will, in the absence of external influences, be sufficiently close to their model, that nothing can be inferred from statistically significant results of their analysis. This argument does not hinge on the data being too biased. It hinges on the fact that they have not shown that it is not.You've stated it yourself. "Why should we just accept on faith that such biases are not present?" and that you don't know the level of bias or what direction it is in. So you're making a negative claim here.Please either explain why my argument hinges upon the level of bias, or respond to my explanation of why it does not.
I can't do the analysis that would be required. I would have to look at long sequences of output from the REGs which were made during periods in which it is known that no external influences were present. How exactly do you propose that I do this?Why don't you analyze the data and answer both of your own questions? You won't, because you believe it is not your job to inquire.
Stop attacking strawmen. I have just stated what my argument is, and I have shown that analytically that my argument is correct. If you think there is a mistake in the derivation where I showed this, then point it out. Repeating over and over again that I have claimed that the data is too biased, when I clearly have not, and demanding that I provide evidence to support a claim I have not made, is simply dishonest.You have not shown anything to demonstrate your negative claims.My argument is that they they have not shown that the biases in their data do not have a significant effect on their results, and that therefore they have shown that their results are valid.
I did not mention that as an attempt to back up my argument, and you know it. Again, the fact that you choose to misrepresent what I said in this way just demonstrates dishonesty on your part.Yet you're the one who pulled the 'Do you know who you are talking to? I am a physicist.' card.And of course I could be mistaken. If I am, point out the mistake! Your attempts to paint me as some sort of elitist who demands that everybody have blind faith that everything I say about science is correct, are dishonest and completely out of line.
If you are concerned about my arguments, then respond to them. Stop attacking a strawman. You know perfectly well that I am not simply "raising possibilities" and "making negative claims". I have explained this to you repeatedly, and you persist in simply ignoring my explanations and repeating claims which I have already responded to.Look, I still do not care if you look at rat neurons or whatever. It is your arguments I am concerned about, and the are simply raising the possibility of something, asserting a negative claim, not inquiring, and believing that is a hard-hitting skeptical analysis.
This is not a debate. It is more like arguing with a parrot. You just keep saying the same thing over and over again, even though it has no relevance to any argument I have actually made.If you think this line of debate is worthless (and I agree), then you shouldn't have brought it up.
Stimpson J. Cat said:(more of the same)
jzs said:If you don't care to provide evidence for your negative claims ("its not my job"), fine, that's your choice, just don't expect me to hold your argument in high regards.
Darat said:"...the nature of the forum inevitably involves strong emotions and opinions which can result in heated exchanges...." this does not mean we accept continuous petty bickering. Simply put: acting like mature adults debating an issue with an occasional heated remark is acceptable, acting like children in a playground isn’t.
jzs said:Where, in the membership agreement, does it state that you don't accept continuous petty bickering?
I've searched it, but "continuous" and "bickering" aren't words in the membership agreement.
You just made that up.
Please retract what you just made up, or adjust the membership agreement accordingly.
I was not so much worried about the -1, more about the z. Is the distribution of sum of z^2 the same as the distribution of the sum of squares? The sum of z is zero and the sum of z^2 is n so if you add n to the sum of z<sup>2</sup> - 1 you just get n.69dodge said:It's not a big problem, because 1 is a constant. If you have a sum of n independent (z<sup>2</sup> - 1)'s, just add n to the sum, and you'll get a random variable that has a chi-square distribution with n degrees of freedom. I'm pretty sure this is essentially what they do.
jzs said:Where, in the membership agreement, does it state that you don't accept continuous petty bickering?
I've searched it, but "continuous" and "bickering" aren't words in the membership agreement.
You just made that up.
Please retract what you just made up, or adjust the membership agreement accordingly.
jzs said:Where, in the membership agreement, does it state that you don't accept continuous petty bickering?
I've searched it, but "continuous" and "bickering" aren't words in the membership agreement.
You just made that up.
Please retract what you just made up, or adjust the membership agreement accordingly.
tim said:jzs
We moderators do the best we can. If you don't agree you are free to leave. In fact, please do.
tim said:jzs
We moderators do the best we can. If you don't agree you are free to leave. In fact, please do.
I was using "z" in a different way, I think. I meant a standard normal variable. And by "sum," I meant a sum of independent such variables.Originally posted by Robin
The sum of z is zero and the sum of z^2 is n so if you add n to the sum of z<sup>2</sup> - 1 you just get n.
Confidence intervals are always calculated based on some null hypothesis or other. What null hypothesis do you want to test?The problem is that the GCP analysts use the theoretic mean and variance to calculate z. This skews the data considerably, for example if you calculate each z using mean of 100 and variance of 50 and the mean is actually 100.1 and the variance is 51 then the distribution is very different.
And this is where I think it would be difficult to calculate confidence intervals - so I would still be interested in the calculation behind the confidence bands they use.