Tagged Questions
0
votes
1answer
65 views
How to deal with non random data in statistical analysis?
I have a set of monthly water quality data, and I want to use them in a few statistical analysis (such as finding distribution or using in copula models) which require random variables as input. I ...
3
votes
2answers
195 views
Kernel density estimation for heavy-tailed distributions using the champernowne transformation
I am trying to follow this paper to estimate the density for a heavy-tailed distributions using the champernowne transformation.
Alternative link to the paper
Another alternative link to the paper
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1
vote
1answer
50 views
Transforming a Continuous Function
My math is quite limited so please bear with me. I will get to the point:
Is there a way to transform a continuous function into a bounded one?
In essence I have a normalized Gaussian distribution ...
0
votes
0answers
193 views
Joint distribution of transformed variables
I have a problem in deriving the transformed joint distribution for continuous random variables. The textbook says use jacobian which makes sense but I wanted to go from first principles like below... ...
0
votes
0answers
59 views
Transfer of random variables, uniqueness
If $X$ is a continuous random variable with known distribution, and $Y_1= f_1(X)$, $Y_2= f_2(X)$ where $f_1$ and $f_2$ are strictly increasing functions and distribution of $Y_1$ and $Y_2$ is the ...
5
votes
2answers
204 views
Transformations that leave a binomial distribution invariant
The binomial distribution is written as
$$p(r|n,\theta )=\binom{n}{r}\theta ^r(1-\theta )^{n-r}$$
where $n$ is a positive integer, $0\leq\theta\leq1$, and $r$ is an integer taking values from $0$ to ...
