Models and Statistical Inference: The Controversy between Fisher and Neyman–Pearson
By Johannes Lenhard. British Journal for the Philosophy of Science, 2006
90 citations recorded by the source corpus.
Subfields: Artificial Intelligence, History and Philosophy of Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e7bc4f036ff905080773b6767e4d9610a83a9503
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- P. Curran
- Andrea M. Hussong
- Celia M. Lombardi
- S. Hurlbert
- Roel J. Wieringa
- Huy P Phan
- Mike W.-L. Cheung
- Kevin J. Grimm
In History and Philosophy of Science
In Statistics and Probability
- Andrea M. Hussong
- P. Curran
- Celia M. Lombardi
- S. Hurlbert
- Roel J. Wieringa
- Andrew F. Hayes
- Daniel J. Bauer
- Victoria Savalei
Citations in the corpus
- Final Collapse of the Neyman-Pearson Decision Theoretic Framework and Rise of the neoFisherian (2009, background): “Lenhard (2006) gives an excellent analysis of the " profound conceptual basis " for the distractingly polemical battles between Fisher and Neyman and Pearson, which was that " both sides held conflicting views about the function of mathematical models and about the role of modelling in statistical…”
- Integrative Data Analysis: The Simultaneous Analysis of Multiple Data Sets (2009, background): “5For more detailed discussions about the similarities and differences between model-based and design-based procedures as well as current hybrid designs that combine the two approaches see Guo & Hussy (2004), Little (2004), Lenhard (2006), Muthén and Satorra (1995) and Sterba (2009).”
- Design Science Methodology for Information Systems and Software Engineering (2014, background): “We will here define a theory to be scientific if it has been submitted to, and survived, two kinds of tests [7, 36]:”