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6 votes
1 answer
2k views

Plotting non-parametric (E)CDF confidence envelopes for comparison

I have previously asked about a way to test whether two samples are drawn from the same distribution (Non-parametric test if two samples are drawn from the same distribution). I was very glad to learn ...
Luke Gorrie's user avatar
19 votes
3 answers
2k views

Statistical test for two distributions where only 5-number summary is known?

I have two distributions where only the 5-number summary (minimum, 1st quartile, median, 3rd quartile, maximum) and sample size are known. Contrary to the question here, not all data points are ...
bonifaz's user avatar
  • 1,095
23 votes
5 answers
16k views

Test if multidimensional distributions are the same

Lets say I have two or more sample populations of n-dimensional continuous-valued vectors. Is there a nonparametric way to test if these samples are from the same distribution? If so, is there a ...
mbc's user avatar
  • 331
6 votes
1 answer
1k views

How to understand the definition of empirical distribution function

I am reading the All of Nonparametric Statistics, by Larry Wasserman. At page 12, he defines the empirical distribution function as: The empirical distribution function $\hat{F_n}$ is the CDF that ...
Deep North's user avatar
  • 4,776
32 votes
3 answers
5k views

Why does the Kolmogorov-Smirnov test work?

In reading about the 2-sample KS test, I understand exactly what it is doing but I don't understand why it works. In other words, I can follow all the steps to compute the empirical distribution ...
Darcy's user avatar
  • 915
20 votes
4 answers
126k views

How do I perform a regression on non-normal data which remain non-normal when transformed?

I've got some data (158 cases) which was derived from a Likert scale answer to 21 questionnaire items. I really want/need to perform a regression analysis to see which items on the questionnaire ...
rachel S's user avatar
  • 201
11 votes
4 answers
3k views

Why is Kernel Density Estimation still nonparametric with parametrized kernel?

I am new to kernel density estimation (KDE), but I want to learn about it to help me calculate probabilities of outcomes in sequencing data. I watched this https://www.youtube.com/watch?v=QSNN0no4dSI ...
Galen's user avatar
  • 9,412
10 votes
2 answers
3k views

Looking for a robust, distribution-free/nonparametric distance between multivariate samples

There are many distance functions for distributions out there, but I'm having a hard time wading through them all to find one that is "distribution-free", or "nonparametric", by which I mean only ...
kjo's user avatar
  • 1,967
8 votes
1 answer
2k views

What practical application is there for the Asymptotic Mean Integrated Squared Error in kernel density estimation?

Introduction For some time now I have been struggling to understand how theoretical results can be applied in practice. Fortunately in most cases the link between theory and practice is not hard to ...
Dennis Jaheruddin's user avatar
8 votes
2 answers
2k views

The exact distribution of Wilcoxon rank-sum statistic U

The distribition of the rank-sum statistic U is assumed to be normal for large number of samples being considered. What is the exact distribution? I want to compare and sometimes fuse results from ...
highBandWidth's user avatar
5 votes
4 answers
2k views

Why use parametric test at all if non parametric tests are 'less strict'

I have read from several sources, even in my undergrad courses, that parametric tests require the data to have a certain distribution, for instance normal, whilst non-parametric don't. I have ...
user2552108's user avatar
3 votes
1 answer
4k views

Empirical probability and Dirac distribution

According to Deep Learning p.65(Ian Goodfellow and Yoshua Bengio and Aaron Courville, available online): (...) This can be accomplished by defining PDF using the Dirac delta function $\delta(x)$: ...
mokebe's user avatar
  • 273
3 votes
1 answer
4k views

Kruskal-Wallis Test and Mann-Whitney U Test

I have a three samples of data where each has a non-normal distribution: I want to determine whether the samples differ. Therefore I apply the KW test and it gives me a significant value, i.e. the ...
Mark Ramotowski's user avatar
2 votes
2 answers
2k views

Comparing frequency distributions

Quick rundown of my data: I have depth measurements from fish with implanted transmitters from two sites (reference and hypoxic) and two seasons (spring and summer). All data is in an Excel ...
Amaroq's user avatar
  • 23
1 vote
2 answers
790 views

Mann-Whitney vs. t-test to compare two samples with different distributions

How should I test the statistical difference of a mean (or median?) concentration of an enzyme between two groups of patients where the distribution in one group is normal, whereas in other it is non-...
Ana's user avatar
  • 11

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