The A-D test assess the fit of an empirical (observed) distribution to a theoretical one. It is an especially powerful option when the theoretical distribution is the normal. The A-D test can also be used to see if several empirical distributions come from the same population.
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2answers
96 views
Anscombe transform & Anderson-Darling test failure
I created a synthetic constant image (all the pixel values are the same) on which I generated a Poisson distribution using a Poisson noise generator, with mean values set to input pixel values.
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0answers
116 views
Anderson-Darling critical value in R
I am using R and i need to do an Anderson-Darling test on my data and I am using the adk package ( http://cran.r-project.org/web/packages/adk/adk.pdf ).
How do I calculate my critical value for a ...
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1answer
97 views
KS, AD and loglike results
I'm using R to test some distribution families to my data.
I've done KS, AD tests and determined the loglike.
For one of the data the indications given by KS and AD do not agree with the ones given ...
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1answer
113 views
adk.test: sample size
I'm using the function adk.test (AD test, adk package) to estimate if a data sample follows a distribution family.
My question is I have ...
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1answer
329 views
What's a good normality test for time-series / sleep data?
I have data that is, at its most basic level, activity counts per minute of fruit flies. Flies are considered to be asleep when they have no activity for at least 5 minutes. The data essentially looks ...
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1answer
70 views
Asymptotics of the survival function for Anderson Darling distribution?
I am using the ADinf procedure of Marsaglia & Marsaglia to compute the CDF of the Anderson Darling statistic. I am interested in the survival function, 1 minus ...
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1answer
213 views
Minimum-Distance estimation of mixed/mixture distributions
Please note: I posted this first on Mathoverflow. Someone there advised me that on stats.stackexchange the question might fit better here. This is the link to the original post.
I currently have to ...
