Estimation for the Box-Cox Transformation Model Without Assuming Parametric Error Distribution

By A. M. Foster, Lu Tian, Lee-Jen Wei. 2001

47 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/93649acfe0feb0519e89b3dcee3cda6184d5860e

How researchers see this paper

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

In Management Science and Operations Research

1. Marco Riani
2. Aldo Corbellini
3. Anthony B. Atkinson
4. Xuming He
5. Damian W. Betebenner
6. Douglas P. Wiens
7. H. Wang
8. Deyuan Li

In Statistics and Probability

1. Aldo Corbellini
2. Marco Riani
3. Anthony B. Atkinson
4. Yunming Mu
5. Xuming He
6. Ying Wei
7. Damian W. Betebenner
8. Lan Wang

Citations in the corpus

• Power Transformation Toward a Linear Regression Quantile (2007, background): “We refer to Box and Cox (1964), Foster, Tian, and Wei (2001), and, more recently, Cai, Tian, and Wei (2005), among others.”
• The Box–Cox Transformation: Review and Extensions (2021, methodology): “The semiparametric method of Foster et al. (2001) assumes that the Box-Cox transformation holds, that is g(y, κ) = y(λ) but that in (10) the distribution of ǫ is unknown.”