18 citations · 19 across the 6 of their papers we have counts for
6 papers
The Noisy Work of Uncertainty Visualisation Research: A Review
Harriet Mason, Dianne Cook, Sarah Goodwin +2
Better representation of the uncertainty in a data visualisation is a focus of recent research activity. A problem with the current literature is that there is a lack of clarity ab…
Automated Assessment of Residual Plots with Computer Vision Models
Weihao Li, Dianne Cook, Emi Tanaka +2
Plotting the residuals is a recommended procedure to diagnose deviations from linear model assumptions, such as non-linearity, heteroscedasticity, and non-normality. The presence o…
A Plot is Worth a Thousand Tests: Assessing Residual Diagnostics with the Lineup Protocol
Weihao Li, Dianne Cook, Emi Tanaka +1
Regression experts consistently recommend plotting residuals for model diagnosis, despite the availability of many numerical hypothesis test procedures designed to use residuals to…
Towards a unified language in experimental designs propagated by a software framework
Emi Tanaka
Experiments require human decisions in the design process, which in turn are reformulated and summarized as inputs into a system (computational or otherwise) to generate the experi…
Current state and prospects of R-packages for the design of experiments
Emi Tanaka, Dewi Amaliah
Re-running an experiment is generally costly and, in some cases, impossible due to limited resources; therefore, the design of an experiment plays a critical role in increasing the…
A Journey from Wild to Textbook Data to Reproducibly Refresh the Wages Data from the National Longitudinal Survey of Youth Database
Dewi Amaliah, Dianne Cook, Emi Tanaka +2
Textbook data is essential for teaching statistics and data science methods because they are clean, allowing the instructor to focus on methodology. Ideally textbook data sets are…