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J. M.'s missing motivation ♦
J. M.'s missing motivation ♦
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I'm using NonlinearModelFit to fit 5 parameters to some data points and the "ParameterConfidenceIntervalTable" gives me the estimates with the CIs. Now I want to know if the estimated values of the parameters are statistically different. Obviously this is the case if the CIs don't overlap, but unfortunately this can also be the case if there is a slight overlap (see [here](https://statisticsbyjim.com/hypothesis-testing/confidence-intervals-compare-means/)). So the question is:

I'm using NonlinearModelFit to fit 5 parameters to some data points and the "ParameterConfidenceIntervalTable" gives me the estimates with the CIs. Now I want to know if the estimated values of the parameters are statistically different.

What is the proper way to test if the parameter estimates are significantly different ??

Obviously this is the case if the CIs don't overlap, but unfortunately this can also be the case if there is a slight overlap (see here). So the question is:

Thanx

What is the proper way to test if the parameter estimates are significantly different?


I'm using NonlinearModelFit to fit 5 parameters to some data points and the "ParameterConfidenceIntervalTable" gives me the estimates with the CIs. Now I want to know if the estimated values of the parameters are statistically different. Obviously this is the case if the CIs don't overlap, but unfortunately this can also be the case if there is a slight overlap (see [here](https://statisticsbyjim.com/hypothesis-testing/confidence-intervals-compare-means/)). So the question is:
What is the proper way to test if the parameter estimates are significantly different ??
Thanx

I'm using NonlinearModelFit to fit 5 parameters to some data points and the "ParameterConfidenceIntervalTable" gives me the estimates with the CIs. Now I want to know if the estimated values of the parameters are statistically different.

Obviously this is the case if the CIs don't overlap, but unfortunately this can also be the case if there is a slight overlap (see here). So the question is:

What is the proper way to test if the parameter estimates are significantly different?

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Axel
Axel
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How to test if NonlinearModelFit parameters are different from each other


I'm using NonlinearModelFit to fit 5 parameters to some data points and the "ParameterConfidenceIntervalTable" gives me the estimates with the CIs. Now I want to know if the estimated values of the parameters are statistically different. Obviously this is the case if the CIs don't overlap, but unfortunately this can also be the case if there is a slight overlap (see [here](https://statisticsbyjim.com/hypothesis-testing/confidence-intervals-compare-means/)). So the question is:
What is the proper way to test if the parameter estimates are significantly different ??
Thanx