Bounded distributions place limits on skewness and larger moments Article Swipe
Related Concepts
Skewness
Kurtosis
Bounded function
Standard deviation
Mathematics
Statistics
Conjecture
Distribution (mathematics)
Function (biology)
Combinatorics
Mathematical analysis
Evolutionary biology
Biology
D. Meer
,
Eric R. Weeks
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0297862
· OA: W4391677775
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0297862
· OA: W4391677775
Distributions of strictly positive numbers are common and can be characterized by standard statistical measures such as mean, standard deviation, and skewness. We demonstrate that for these distributions the skewness D 3 is bounded from below by a function of the coefficient of variation (CoV) δ as D 3 > δ − 1/ δ . The results are extended to any distribution that is bounded with minimum value x min and/or bounded with maximum value x max . We build on the results to provide bounds for kurtosis D 4 , and conjecture analogous bounds exists for higher statistical moments.
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