Evidence map›Paper›PMID 42267171›Full record

ArticleStatistics & probability letters2026

Bandwidth of gamma-distribution-shaped functions via Lambert W function.

Anthony LoPrete, Johannes Burge

Abstract read
In one paragraph

Article in Statistics & probability letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Anthony LoPreteBioengineering Graduate Group, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-5387-7779
Johannes BurgeBioengineering Graduate Group, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-0311-7875

Funding

Estimation and Discrimination of Motion and Depth in Natural ScenesR01EY028571 · NEI · UNIVERSITY OF PENNSYLVANIA · PI BURGE, JOHANNES D. · 2018 to 2022
$1.9M
NEI NIH HHS R01 EY028571
6 · The paper itself

Abstract

The full width at half maximum (FWHM) is a useful quantity for characterizing the bandwidth of unimodal functions. However, a closed-form expression for the FWHM of gamma-shaped functions - i.e. functions that are shaped like the gamma distribution probability density function (PDF) - is not widely available. Here, we derive and present just such an expression. To do so, we use the Lambert W function to compute the inverse of the gamma PDF. We use this inverse to derive an exact analytic expression for the full-width at an arbitrary

Indexed as

Full-width at half maximumprimary 60E05Probability theorysecondary 33E20Special functions

Identifiers

PMID42267171
PMCPMC13246144

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.