Validation of Visual Statistical Inference, Applied to Linear Models

DOI10.1080/01621459.2013.808157OpenAlexW1968989359WikidataQ57392187 ScholiaQ57392187MaRDI QIDQ2861808

Mahbubul Majumder, Dianne Cook, Heike Hofmann

Publication date: 11 November 2013

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2013.808157

zbMATH Keywords

lineupvisualizationdata miningexploratory data analysisstatistical graphicsnonparametric testeffect sizepractical significance

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

Variations of Q–Q Plots: The Power of Our Eyes! ⋮ Correct specification of design matrices in linear mixed effects models: tests with graphical representation ⋮ The Wally plot approach to assess the calibration of clinical prediction models ⋮ Measuring Lineup Difficulty By Matching Distance Metrics With Subject Choices in Crowd-Sourced Data ⋮ Key Attributes of a Modern Statistical Computing Tool ⋮ Using visual statistical inference to better understand random class separations in high dimension, low sample size data ⋮ Four papers on contemporary software design strategies for statistical methodologists

Uses Software

• R
• lme4
• ggplot2

Cites Work

• Statistical inference for exploratory data analysis and model diagnostics
• A $k$-Sample Slippage Test for an Extreme Population
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