Scientific method in practice

By Hugh G. Jr Gauch. 2002

393 citations recorded by the source corpus.

Subfields: History and Philosophy of Science, Small Animals, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8baa6a3f906f1ed486d731a43101e040df8c8004

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In History and Philosophy of Science

1. B. Searle
2. Plamen Parvanov Angelov
3. Xiaowei Gu
4. Demetris Koutsoyiannis
5. Hugh G. Jr Gauch
6. Keith Beven

In Small Animals

1. B. Searle
2. Plamen Parvanov Angelov
3. Xiaowei Gu
4. Demetris Koutsoyiannis

In Statistics and Probability

1. B. Searle
2. D. Borcard
3. Plamen Parvanov Angelov
4. Xiaowei Gu
5. Demetris Koutsoyiannis
6. Pierre Legendre
7. F. Guillaume Blanchet
8. Christian Bauckhage

Citations in the corpus

• Scaffold: A bioinformatic tool for validating MS/MS‐based proteomic studies (2010, methodology): “The use of Occam’s razor [18] in protein grouping was initially pioneered by the search engine MASCOT [19] and in DTASelect [20], a software program developed to interpret SEQUEST results.”
• Informed Machine Learning – A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems (2019, background): “Explicit forms of validation are given by empirical studies or scientific experiments [27], [31].”
• Meta-analysis and the science of research synthesis (2018, neutral): “For hundreds of years, scientists collected data in individual studies, based on observations and experimentation 77 .”
• Forward selection of explanatory variables. (2008, background): “Furthermore, a parsimonious model has greater predictive power (Gauch 1993, 2003).”
• Empirical Approach to Machine Learning (2018, methodology): “Motivated by the principle of Occam’s Razor [3], we suggest a complete departure from traditional approaches to large-scale data analysis: we advocate recognising the central importance and complexity of real-world data.”
• Model Evaluation by Comparison of Model-Based Predictions and Measured Values (2003, background): “But some-itself, MSEP (Gauch, 1992, p. 134–153, especially page 140; Gauch, 2003, p. 303–312).”
• Generic and parsimonious stochastic modelling for hydrology and beyond (2016, background): “…was revived by medieval philosophers including Robert Grosseteste (c. 1168–1253), Thomas Aquinas (c. 1225–1274) and William of Ockham (c. 1285–1347), whose statement Plurality is not to be posited without necessity. has given the principle the alternative name Ockham’s razor (see also Gauch 2003).”