THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED
By Welch Bl. 1947
Subfields: Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Ulrich K. Müller
- Mark W. Watson
- Daniël Lakens
- Graham Elliott
- Karen Simonyan
- Aaron C. Courville
- Yann Dauphin
- Serge J. Belongie
Citations in the corpus
- Visual Prompt Tuning (2022, methodology): “We also conduct un-paired one-tailed t-test with unequal variances (Welch’s ttest [74]), comparing the individual runs (the number of observations = 5) for each VTAB task (H0 states that VPT-deep and the other baseline perform the same for a specific VTAB task, while H1 states that VPT-deep outperfo”
- Population Based Training of Neural Networks (2017, methodology): “(a) T-test selection where we uniformly sample another agent in the population, and compare the last 10 episodic rewards using Welch’s t-test (Welch, 1947).”
- Communication Efficiency and Congestion of Signal Traffic in Large-Scale Brain Networks (2014, methodology): “Comparisons between node-specific metrics were made using Welch’s t-test for samples with unequal variances [49], and evaluated with respect to degrees of freedom determined using the Satterthwaite approximation [50].”
- Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics (2016, methodology): “We used Welch’s t-test Welch (1947) to verify that the differences of the mean log likelihood of the demonstrations under the trained models in Figure 3 (a) and (d) are statistically significant ( p 0 .”
- Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery (2010, methodology): “Applying Welch’s t test [61] to the six sets produces p-values less than 1.”
- Selective Brain Damage: Measuring the Disparate Impact of Model Pruning (2019, methodology): “…a class c and a population of K models trained at a sparsity t , we construct a set of samples S ct of the mean-shifted class accuracy as In this work, we use a two-sample, two-tailed, independent Welch’s t-test [69] to determine whether the means of the samples S ct and S c 0 differ significantly.”
- Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research (2020, unknown): “The SmartPLS software has three approaches, i.e. Henseler's bootstrap-based MGA (Henseler et al., 2009), the Parametric Test (Keil et al., 2000), and the Welch-Satterthwait Test (Welch, 1947).”
- Interesting objects are visually salient. (2008, methodology): “The Welch ' s t test ( Welch , 1947 ) was also used to test the statistical significance when the saliency map was used to detect all of the objects in a given scene .”