arbiter
JournalsPricingAccount

A Comment on a Skewness Coefficient

Zhixin Lun & Ravindra Khattree

Mathematical Methods of Statistics2025https://doi.org/10.3103/s1066530725700073article
ABDC B
Weight
0.50

What the paper says

We show that the univariate Khattree–Bahuguna measure of skewness cannot exceed $$\frac{1}{2},$$ thereby reducing the range of feasible values stated by original authors by a factor of two. This substantially changes the interpretation of the magnitude of this measure especially for the highly skewed data. We also show that this bound cannot be improved further. A similar change in the upper bound occurs also for the two multivariate measures of skewness defined by Khattree and Bahuguna.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.3103/s1066530725700073

Or copy a formatted citation

@article{zhixin2025,
  title        = {{A Comment on a Skewness Coefficient}},
  author       = {Zhixin Lun & Ravindra Khattree},
  journal      = {Mathematical Methods of Statistics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.3103/s1066530725700073},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

A Comment on a Skewness Coefficient

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.