Alphabet Soup
By R. Hubbard. 2004
87 citations recorded by the source corpus.
Subfields: Food Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/88ea930fa01fdc9e9960c4aa898c7cb6ee99f766
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Food Science
- Charles Lambdin
- Andrew Gelman
- Christian P. Robert
- R. Hubbard
- D. University
- Blakeley B. McShane
- Rachael Lindsay
In Statistics and Probability
- Andrew Gelman
- Charles Lambdin
- Blakeley B. McShane
- Christian P. Robert
- David Gal
- D. University
- Rachael Lindsay
- J. Tackett
Citations in the corpus
- Significance tests as sorcery: Science is empirical—significance tests are not (2012, background): “Sadly, the social sciences took no notice and the influence of Fisher’s early work is still ubiquitous (Hubbard, 2004).”
- Why P Values Are Not a Useful Measure of Evidence in Statistical Significance Testing (2008, background): “In addition, α is a prescription for behaviors (accepting or rejecting H0), not a means of assessing evidence; is a pre-selected fixed measure, not a random variable; and applies only to long-run repeated random sampling from the same population, not to single experiments (Hubbard, 2004).”
- Abandon Statistical Significance (2017, background): “…statistical paradigm for research, publication, and discovery in the biomedical and social sciences (see, for example, Morrison and Henkel (1970); Gigerenzer (1987); Sawyer and Peter (1983); McCloskey and Ziliak (1996); Gill (1999); Anderson et al. (2000); Gigerenzer (2004); Hubbard (2004)).”