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This is the definition of the Cohen class of distributions.
The result extends to a general class of distributions when the number of agents is large.
A subclass of the class (mathscr{C}) is the class of distributions with regularly varying tails.
We have proposed and presented results on a new class of distributions called the EKD distribution.
With the sCMP class of distributions, we see that (hat {nu }) decreases as m increases.
This class of distributions have applications in income and lifetime data analysis.
We first provide a brief overview of the UARS class of distributions.
We explain this by considering a special class of distributions parametrized by.
We propose a new class of distributions called the odd generalized exponential family.
Section 5 illustrates the flexibility of this class of distributions via simulated and real data examples.
Providing a new class of distributions is always precious for statisticians.
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CEO of Professional Science Editing for Scientists @ prosciediting.com