CRC Standard Probability And Statistics Tables and Formulae

By W. Beyer. 1990

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Measuring Data (2022, methodology): “…measuring correlations: some of the most commonly used measurements are the Pearson correlation coefﬁcient (Benesty et al., 2009) and the Spearman rank-order correlation coefﬁcient (Ramsey, 1989; Kokoska and Zwillinger, 2000), which can help represent inter-dataset relationships and dependencies.”
Sparse Communication for Distributed Gradient Descent (2017, background): “More formally, gradient updates have positive skewness co-efﬁcient (Zwillinger and Kokoska, 1999): most are close to zero but a few are large.”
CLIP-It! Language-Guided Video Summarization (2021, background): “[25] and report results on rank based metrics, Kendall’s τ [14] and Spearman’s ρ [49] correlation coefficients in the Supp.”
Understanding Iterative Revision from Human-Written Text (2022, methodology): “To analyze how automatic metrics are correlated with human overall quality score, we compute the Pearson (Kowal-ski, 1972) and Spearman (Zwillinger and Kokoska, 1999) correlation coefﬁcients between the automatic metrics and the human overall quality scores based on 50 single document-revisions and ”
Video Summarization Using Deep Neural Networks: A Survey (2021, methodology): “The user-generated frame-level importance scores for the TVSum videos are considered as rankings, and two rank correlation coefficients, namely Kendall τ [104] and Spearman ρ [105] coefficients, are used to evaluate the summary.”