A new class of estimators of a “scale” second order parameter
By Frederico Caeiro, M. Ivette Gomes. 2007
58 citations recorded by the source corpus.
Subfields: Finance, Global and Planetary Change, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a9cd928f4036c6d0f88bb1b67c47e4c963792bc1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Frederico Caeiro
- M. Ivette Gomes
- Lígia Henriques Rodrigues
- Dinis D. Pestana
- Laurens de Haan
- Jan Beirlant
- Stéphane Girard
- M. I. Fraga Alves
In Global and Planetary Change
- Frederico Caeiro
- Dinis D. Pestana
- Lígia Henriques Rodrigues
- M. Ivette Gomes
- Stéphane Girard
- Jan Beirlant
In Statistics and Probability
Citations in the corpus
- A simple second-order reduced bias’ tail index estimator (2007, background): “13 , and may be defined as where with The statistics <inline-graphic xmlns:xlink="http://www.”
- Reduced-Bias Tail Index Estimators Under a Third-Order Framework (2009, background): “Such a class of estimators has been first parameterised in a tuning parameter τ > 0, but more generally, τ can be considered as a real number (Caeiro and Gomes, 2006 ).”
- Nonparametric regression estimation of conditional tails: the random covariate case (2014, unknown): “[24] and Caeiro and Gomes,[27] we introduce the following class of estimators for ρ(x), parameterized in terms of a tuning parameter τ ∈ R: ρ̂n(x; K, L, τ) := 3(Rn(x; K, L, τ) − 1) Rn(x; K, L, τ) − 3 ,”