Distribution of empirical p-values of the 2019 greedy-paris clusters using three different null models: Snowballing sampling, edge shuffle, and random clusters.

<p>All figures share the same y-axis which is also on a log scale. The proportion of clusters with <i>p</i> < 0.05 in each model is 6%, 48%, and 39%, for snowballing, edge-shuffle, and random clusters respectively. Snowballing has 70% of its clusters with <i>p</i> = 1.00, whereas the other two models have zero clusters falling into this category.</p> <p>(PDF)</p>

Publication Details

Journal
Figshare
Published
2024-12-26
DOI
https://doi.org/10.1371/journal.pone.0309205.s003
Primary Topic
Survey Sampling and Estimation Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Distribution of empirical p-values of the 2019 greedy-paris clusters using three different null models: Snowballing sampling, edge shuffle, and random clusters.

Figshare
Survey Sampling and Estimation Techniques
article

Distribution of empirical p-values of the 2019 greedy-paris clusters using three different null models: Snowballing sampling, edge shuffle, and random clusters.

article en

Abstract

<p>All figures share the same y-axis which is also on a log scale. The proportion of clusters with <i>p</i> < 0.05 in each model is 6%, 48%, and 39%, for snowballing, edge-shuffle, and random clusters respectively. Snowballing has 70% of its clusters with <i>p</i> = 1.00, whereas the other two models have zero clusters falling into this category.</p> <p>(PDF)</p>

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Survey Sampling and Estimation Techniques
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Distribution of empirical p-values of the 2019 greedy-paris clusters using three different null models: Snowballing sampling, edge shuffle, and random clusters. · Figshare (2024) | TGRS Research Map | TGRS