The DOI matches its Crossref record.
A Quantile Alternative for Kurtosis
Open accessAbstract
Recently, Moors (1986) showed that kurtosis is easily interpreted as a measure of dispersion around the two values u ? a. For this dispersion an alternative measure, based on quantiles, is proposed here. It is shown to have several desirable properties: (i) the measure exists even for distributions for which no moments exist, (ii) it is not influenced by the (extreme) tails of the distribution, and (iii) the calculation is simple (and is even possible by graphical means).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Accuracy assessment of digital elevation models by means of robust statistical methods
Höhle, J., & Höhle, M. (2009) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2009.02.003 · Cited by 743
Kurtosis as Peakedness, 1905–2014. R.I.P.
Westfall, P. H. (2014) · The American Statistician · doi:10.1080/00031305.2014.917055 · Cited by 518
Do Realized Skewness and Kurtosis Predict the Cross-Section of Equity Returns?
Amaya, D., Christoffersen, P., Jacobs, K., & Vasquez, A. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.2024782 · Cited by 28
Metadata
- Authors
- Moors, J. J. A.
- Venue
- The Statistician
- Publisher
- JSTOR
- Published
- 1988
- Volume
- 37
- Issue
- 1
- Pages
- 25
- ISSN
- 0039-0526 (ISSN-L)
- OpenAlex
- W1589112945
- Cited by
- 630
- References
- 0
- FWCI
- 0.88
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Quantile Alternative for Kurtosis. https://app.cochat.ai/papers/10.2307/2348376
- The paper
- Moors, J. J. A. (1988). A Quantile Alternative for Kurtosis. The Statistician. https://doi.org/10.2307/2348376
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.