Using the Box-Cox t distribution in GAMLSS to model skewness and kurtosis

By Robert A. Rigby, D. Stasinopoulos. 2006

200 citations recorded by the source corpus.

Subfields: Plant Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/579eddae22b797eb79ab5f866b08d9d998af47da

How researchers see this paper

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

In Plant Science

1. Robert A. Rigby
2. Mikis D. Stasinopoulos
3. Fernanda De Bastiani
4. D. Stasinopoulos

In Statistics and Probability

1. Mikis D. Stasinopoulos
2. Fernanda De Bastiani
3. Robert A. Rigby
4. D. Stasinopoulos
5. Thomas Kneib
6. Rodrigo Rossetto Pescim
7. F. Serinaldi
8. Torsten Hothorn

Citations in the corpus

• Generalized Additive Models for Location Scale and Shape (GAMLSS) in R (2007, methodology): “More on how to use the weights argument correctly can be found in Stasinopoulos et al. (2006, Section 3.2.1).”
• GAMLSS: A distributional regression approach (2018, methodology): “…major methodologies for creating centile curves, (a) the lambda, mu and sigma (LMS) method and its extensions (Cole and Green, 1992); (Rigby and Stasinopoulos, 2004; Rigby and Stasinopoulos, 2006) and (b) the quantile regression method (Koenker et al., 1994; He and Ng, 1999; Ng and Maechler, 2007).”