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0 votes
0 answers
37 views

Show that an event is improbable for exponential families iff it's improbable for all absolutely continuous distributions

Since all the exponential families are absolutely continuous, if part is trivial. However, I could not prove the only if part. My idea is to prove by contradiction, i.e. given an event $A$ such that $...
Martund's user avatar
  • 545
0 votes
1 answer
131 views

How to find the type of my distribution?

I checked the normality of my data on SPSS and one of the variables is not normally distributed. I have the mean, standard deviation, skewness, kurtosis , min and max values of my distribution. But I ...
user avatar
6 votes
2 answers
1k views

What is a medcouple?

What is a medcouple? I understand that it is the median of a couple of data points but it is not clear to me what these pairs of data actually are. E.g. https://wis.kuleuven.be/stat/robust/papers/2008/...
Maths12's user avatar
  • 579
2 votes
1 answer
170 views

How to estimate the probability that a single value follows the same distribution as a a set of values

This question is a possible duplicate of this one but I would like to go a bit further. I have a set of values $X=x_1, x_2, \cdots, x_n$ that are iid estimates of a reference value $y$ given by a ...
Gustave Coste's user avatar
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 ...
Ryan's user avatar
  • 351
2 votes
0 answers
104 views

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 ...
Perl Del Rey's user avatar
0 votes
0 answers
30 views

Sampling distribution from a parametric curve?

I'm not sure if this question is well-founded, given that it seems to be mixing random and deterministic processes, but I'm wondering if there's a meaningful answer. Suppose we have a parametric curve ...
Ben's user avatar
  • 255
2 votes
2 answers
135 views

How to prove a multivariate r.v. does not follow the nonparanormal distribution?

Background You may find the definition of the non-paranormal distribution at the 2nd paragraph in p.2296 of this paper. In short, $(X_1, \ldots, X_p)$ is non-paranormal if there exists a set of ...
inmybrain's user avatar
  • 528
0 votes
0 answers
53 views

Finding the right hypothesis test

I have two distributions (Generic and Generic Masked) that I want to compare. I want to show that one is distributed closer to 1 than the other, but don't know which hypothesis to test for this. I ...
Jimmy2027's user avatar
  • 121
3 votes
1 answer
2k views

Test to show one distribution is bigger than another

Here is a MWE of my problem: I measure the size, $S$, of 10 red apples and 32 green apples. $\bar S_\mathrm{red} = 8 \pm 1\,\mathrm{cm}$ and $\bar S_\mathrm{green} = 4 \pm 2\,\mathrm{cm}$. I want ...
Sean Mooney's user avatar
1 vote
0 answers
131 views

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 ...
Akaike's Children's user avatar
1 vote
0 answers
23 views

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 ...
random_guy's user avatar
2 votes
1 answer
182 views

Binomial distribution for two groups if success rate is not given

Two groups of twelve statisticians are taught two different methods of Statistics. (Assume that a statistician in group one is matched in terms of their Statistics ability with a statistician in group ...
user avatar
2 votes
0 answers
83 views

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 ...
ylangylang's user avatar
2 votes
1 answer
144 views

When a function of two random variables is Gumbel?

Consider two random variables $X,Y$. Is there any example in which $X$ and $Y$ have a known parametric distribution such that $f(X,Y)$ is Gumbel with scale $\sigma$ and location $\beta$, for some ...
Star's user avatar
  • 891

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