Exact and approximate REML for heteroscedastic regression

By Gordon K. Smyth, Australia A Frederik Huele, A. Unas, P. Verbyla Biometricssa. 2001

50 citations recorded by the source corpus.

Subfields: Environmental Engineering, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/350c457284a53877e196e372ace224e3a4ea2236

How researchers see this paper

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

In Environmental Engineering

1. Arunas P. Verbyla
2. Deirdre Bloome
3. Bruce Western

In Management Science and Operations Research

1. Deirdre Bloome
2. Bruce Western

In Statistics and Probability

1. Arunas P. Verbyla
2. Deirdre Bloome
3. Julian Taylor
4. Bruce Western

Citations in the corpus

• 9. Variance Function Regressions for Studying Inequality (2009, methodology): “A restricted maximum likelihood (REML) estimator based on the marginal likelihood for λ produces estimates that are less biased in small samples (Smyth, Huele, and Verbyla 2001).”
• Joint modelling of location and scale parameters of the t distribution (2004, background): “This is a current area of research and key references include Smyth et al. (2001) and Smyth (2002).”