Berkson error model
The Berkson error model is a description of
classical error, Berkson error causes little or no bias in the measurement. It was proposed by Joseph Berkson in an article entitled “Are there two regressions?,”[1]
published in 1950.
An example of Berkson error arises in
random error
predominates).
References
- JSTOR 2280676.
Further reading
- Buonaccorsi, John P. (2010). Measurement Error: Models, Methods, and Applications. CRC Press. pp. 76–78. ISBN 978-1-4200-6658-6.
- Carroll, R. J.; Ruppert, D.; Stefanski, L. A. (2006). Measurement Error in Nonlinear Models (Second ed.). London: Chapman & Hall. pp. 26–32. ISBN 1-4200-1013-1.
 | This statistics-related article is a stub. You can help Wikipedia by expanding it. |