All Questions
Tagged with nonparametric distributions
33
questions with no upvoted or accepted answers
4
votes
1
answer
106
views
Nonparemetric tests: how to support the null hypothesis you claim to be testing
Let us assume that we have taken an unbalanced number of independent random samples from 5 different populations, which will be analogous to 5 different locations in this example. Each observation ...
- 351
2
votes
0
answers
69
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When is the central limit theorem not applied?
I am trying to compare two matched samples. In total I have a sample of 34 people. Each patient receives two treatments, a C1 treatment and a C2 treatment. So each patient will be compared to himself ...
- 909
2
votes
0
answers
104
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Fitting a range of distribution and test for goodness of fit - choose based on p-value or chi-squared values?
I have data for which I want to study the best distribution that fits this data. I am following this blog post to do my experiments. Basically the following things are happening:
fit a number of ...
- 521
2
votes
0
answers
83
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Estimating conditional probability distribution from samples
I have three continuous variables, $X$, $Y_1$ and $Y_2$. All three are correlated. For a given value of $X$, the conditional probability distributions of $Y_1$ and $Y_2$ are typically bimodal. I'm ...
- 131
2
votes
0
answers
150
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Derive probability distributions from i.i.d. Gumbel
I have a question on how to derive (if possible) the following probability distributions.
Consider 3 random variables $(X,Y,Z)$ mutually independent and identically distributed. Specifically, $X$ is ...
- 891
2
votes
0
answers
5k
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How to "standardize" count data that is not normally distributed (or poisson distributed)?
I have a count dataset (num_samples=7, num_attributes=14117) that I want to normalize (for lack of a better word). Each of the samples has a different number of ...
- 1,472
2
votes
0
answers
54
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Suggest a (nonparametric?) test for the difference between two strictly-positive distributions
$\mathbf{X}$ is a $n\times p$ matrix of data. I'm treating $\mathbf{X}$ as having a multivariate normal distribution with some arbitrary covariance structure.
$\mathbf{Y}$ is a $(m<n)\times p$ ...
- 13.5k
2
votes
0
answers
153
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bootstrapping the density: bias from parametric bootstrap of polynomial fit of binned frequencies
Bootstrap examples for density estimation usually start with resampling from the empirical distribution of the "micro data", e.g. here on Normal Deviate talking about confidence intervals for ...
- 987
2
votes
0
answers
264
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Pareto distribution rules out stable distribution?
In the following paper http://fic.wharton.upenn.edu/fic/papers/99/9914.pdf on catastrophic damage, I read a sentence the puzzled me (p. 23):
For the hurricane data the Pareto gives the heaviest ...
- 387
1
vote
0
answers
131
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What is the resulting distribution of a data set that was originally normally distributed but has been quantized and had all negative values removed?
I am trying to benchmark a seasonal forecasting model and calculate not just the point forecasts but the forecast densities from the model.
To do this, I generated a simulated data set in the ...
- 1,381
1
vote
0
answers
23
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Ways to make parametric statistics work with real time (often non-normal) data
BACKGROUND:
I have been tasked with teaching basic data analysis methods with R to a group of people in a business setting.
While my stance is that I am most difinitely not at the level where I ...
- 13
1
vote
0
answers
41
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Prove the relation between two distribution functions
I have been given a homework in a subject called "Non-Parametric Statistics" and I'm a bit stuck with it. I would be very thankful if you could give me any advice or help, which would lead to a ...
- 49
1
vote
0
answers
692
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Type of parameter of the chi-squared distribution
Chi-squared distribution $\chi^2(k)$ has parameter $k$.
On the one hand, $k$ should be the shape parameter because chi-squared distribution is a special case of Gamma distribution: $\chi^2(k) \equiv ...
- 1,008
1
vote
0
answers
31
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Estimating Gamma PDF parameters from data with negative increments
Say we have collected data, and from a physical perspective we know that the collected data should increase positively with time. However the data looks more like this:
This data shown in the figure ...
- 565
1
vote
0
answers
366
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Distribution (group) comparison based on PCA
I am looking for a way to compare the first the k principal components belonging to two separate groups of two-dimensional data, in order to see how similar the two groups are. I do not know which ...
- 11