Nonparametric statistics for the behavioral sciences
By Sidney Siegel. 1956
Subfields: Statistics and Probability
How researchers see this paper
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In Statistics and Probability
- Reinout Heijungs
- Subhabrata Chakraborti
- Andrea Romei
- Salvatore Ruggieri
- Roger Mundry
- R. Kleijn
- James D. Abbey
- Erin Elliott
Citations in the corpus
- PARADISE: A Framework for Evaluating Spoken Dialogue Agents (1997, methodology): “…use of decision theory to create this objective structure, other novel aspects of PARADISE include the use of the Kappa coefficient (Carletta, 1996; Siegel and Castellan, 1988) to operationalize task success, and the use of linear regression to quantify the relative contribution of the success and…”
- The UCR time series archive (2018, methodology): “There are two alternative hypothesis tests that one could go for, a paired two-sample t-test [36] for evidence of a significant difference in mean accuracies or a Wilcoxon signed-rank test [37], [38] for differences in median accuracies.”
- The Role of Perceived Quality Risk in Pricing Remanufactured Products (2017, methodology): “In each category, a Siegel and Castellan bias-corrected Cohen’s Kappa estimator showed a good fit, other than for one infrequently observed category (Hallgren 2012, Siegel and Castellan 1988).”
- Researcher Bias: The Use of Machine Learning in Software Defect Prediction (2014, background): “The square of the MCC (or phi) is approximately a chi-squared distribution with one degree of freedom [4].”