Pages that link to "Item:Q1673333"
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The following pages link to Are your data really Pareto distributed? (Q1673333):
Displaying 17 items.
- A unified approach of testing for discrete and continuous Pareto laws (Q840984) (← links)
- On the statistical properties and tail risk of violent conflicts (Q1619440) (← links)
- On the statistical properties of viral misinformation in online social media (Q1620386) (← links)
- Is the wealth of the Forbes 400 lists really Pareto distributed? (Q1672842) (← links)
- How much better is disaggregate data? (Q1676667) (← links)
- From concentration profiles to concentration maps. New tools for the study of loss distributions (Q1697209) (← links)
- A generalization of the power law distribution with nonlinear exponent (Q2004802) (← links)
- Five degrees of randomness (Q2066236) (← links)
- Gini estimation under infinite variance (Q2149129) (← links)
- A robust semi-parametric approach for measuring income inequality in Malaysia (Q2151748) (← links)
- The distribution of strike size: empirical evidence from Europe and north America in the 19th and 20th centuries (Q2165674) (← links)
- Expected shortfall estimation for apparently infinite-mean models of operational risk (Q4554222) (← links)
- Graphical representations and associated goodness-of-fit tests for Pareto and log-normal distributions based on inequality curves (Q5023855) (← links)
- On the identification of extreme outliers and dragon-kings mechanisms in the upper tail of income distribution (Q5036635) (← links)
- Rank − 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents (Q5392682) (← links)
- Dynamical fitness models: evidence of universality classes for preferential attachment graphs (Q5868517) (← links)
- On the parametric description of log-growth rates of Romanian city sizes (Q6556387) (← links)
