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May
15
comment Evaluating the different calculations
You could also have two different Mathematica versions installed in your machine. Put MMA9 to run 2-3 days and use, for instance, MMA8 for simpler calculations...
May
15
comment Evaluating the different calculations
What have you done so far? Instead of a simple question, you could put any code to show what exactly you're trying to achieve...
May
13
revised Computing Correlations and p-values
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May
13
comment Computing Correlations and p-values
OK, let me correct myself: the sampling distribution for Pearson's correlation does assume Normality, while the measure itself does not assume Normality. That's why on should use Spearman correlation instead of Pearson.
May
13
comment Computing Correlations and p-values
These assumptions must also be true for the Pearson correlation test...
May
13
revised Computing Correlations and p-values
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May
13
answered Computing Correlations and p-values
May
13
comment Computing Correlations and p-values
Or even SpearmanRankTest[], why not?
May
13
comment Safe values of $\mu$ and $\sigma$ when randomly sampling from a Log-Normal Distribution?
What definition of "outlier" are you using? A simple "visual test" usually does not work here. Try to generate your data, compute the IQR (interquartile range) and then you can effectively say if the observation is an outler...
May
13
comment Computing Correlations and p-values
Pearson's correlation does assume Normality, while Spearman's correlation is a rank based correlation measure and does not assume Normality.
May
13
comment Computing Correlations and p-values
Take a look at this post. It might help.
May
3
awarded  Enthusiast
May
2
awarded  Citizen Patrol
May
1
comment Override Equation structure change in mathematica - CopyToLaTeX
Try this link.
Apr
30
comment Probability density histogram with unequal bin widths
When you add 10^-13 to one block of the histogram, you are, at the same time, "removing" slightly the probability of the other blocks... That's why you get the difference... Anyway I think, too, that the difference is considerable...
Apr
30
revised Probability density histogram with unequal bin widths
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Apr
30
answered Probability density histogram with unequal bin widths
Apr
30
answered Probability density histogram with unequal bin widths
Apr
30
comment Probability density histogram with unequal bin widths
It does matter when you're computing PDF's. If you exclude those 3 observations, now your probability (i.e., "PDF") should be based on 12 observations, and not 15...
Apr
30
comment Probability density histogram with unequal bin widths
Using SeedRandom[1] you get 3 observations higher than 1. When you use Histogram[data,{{-2,0,1}}] you're excluding those 3 observations...