Well, can we reject the null-hypothesis that mean(T(t)) == mean(U(t))?
That's my question, again: what exactly do we compute in order to reject this as a null hypothesis? I don't understand how we could do that. We can certainly ask whether the mean of T(t) is zero or not, but that would be the same as asking whether a = 0 or not. It's not asking whether T(t) is "just a" or not "just a". Can you describe what calculation needs to be performed with the T(t) data in your excel table in order to decide this first null-hypothesis?
We start with stating that our model here is a good estimate of T(t), which we show is non-linear, and want to compute "a trend".
I don't understand what you are saying. What exactly does it mean that T(t) is "non-linear"?
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timeasmymeasure
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Date: 2020-01-08 06:01 pm (UTC)That's my question, again: what exactly do we compute in order to reject this as a null hypothesis? I don't understand how we could do that. We can certainly ask whether the mean of T(t) is zero or not, but that would be the same as asking whether a = 0 or not. It's not asking whether T(t) is "just a" or not "just a". Can you describe what calculation needs to be performed with the T(t) data in your excel table in order to decide this first null-hypothesis?
We start with stating that our model here is a good estimate of T(t), which we show is non-linear, and want to compute "a trend".
I don't understand what you are saying. What exactly does it mean that T(t) is "non-linear"?