Book Review: Computer Intensive Methods for Testing Hypotheses: An Introduction

By Scott M. Smith. 1990

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Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning (2018, methodology): “…to BLEU (Papineni et al., 2002), METEOR (Denkowski and Lavie, 2011) using MULTEVAL (Clark et al., 2011) and BEER (Stanojević and Sima’an, 2014) to cover a diverse set of automatic measures for translation quality.6 We test for statistical significance with approximate randomization (Noreen, 1989).”
The IWSLT 2011 Evaluation Campaign on Automatic Talk Translation (2012, methodology): “We applied the Approximate Randomization Test (Noreen, 1989) to find statistically significant differences between pairs of systems in the same tasks, i.”
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking (2019, unknown): “05), tested by bootstrap resampling (Noreen, 1989).”
The Market Valuation of Environmental Capital Expenditures by Pulp and Paper Companies (2000, methodology): “Using a randomization test (Noreen 1989), the difference between 55 and 27 is statistically significant at the 0.”
Evaluating the statistical significance of de facto accounting harmonization: a study of European global players (2000, background): “The probability of the observed change not being greater than zero is given by the rank of the observed change when contrasted with the generated distribution (see Noreen, 1992; Bradley and Tibshirani, 1993).”
Monte Carlo Based Null Distribution for an Alternative Goodness‐of‐Fit Test Statistic in IRT Models (2000, background): “Resampling procedures have been useful in situations where the distribution of the test statistic is unknown or in question, and random samples are not available (Manly, 1991; Noreen, 1989).”
Overview of the Author Profiling Task at PAN 2013 (2013, methodology): “We computed statistical significance of performance differences between systems using approximate randomisation testing [24].”
Automatic lymphoma classification with sentence subgraph mining from pathology reports. (2014, methodology): “We used the approximate randomization test [51] to assess whether two system outputs were significantly different from each other ( ) and the statistically significant changes in Table 3 are marked.”