44 citations · 74 across the 8 of their papers we have counts for
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stat.ME2022★ 6 cited
Should data ever be thrown away? Pooling interval-censored data sets with different precision
Krasymyr Tretiak, Scott Ferson
Data quality is an important consideration in many engineering applications and projects. Data collection procedures do not always involve careful utilization of the most precise i…
stat.ME2021★ 1 cited
Singhing with Confidence: Visualising the Performance of Confidence Structures
Alexander Wimbush, Nicholas Gray, Scott Ferson
Confidence intervals are an established means of portraying uncertainty about an inferred parameter and can be generated through the use of confidence distributions. For a confiden…
stat.ME2021
Logistic Regression Through the Veil of Imprecise Data
Nicholas Gray, Scott Ferson
Logistic regression is an important statistical tool for assessing the probability of an outcome based upon some predictive variables. Standard methods can only deal with precisely…