Review and evaluation of likelihood functions for composition data in stock-assessment models: Estimating the effective sample size
By Mark N. Maunder. 2011
58 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/60a5d3e96c909c6d4b8a7e4377d01c4a5cb7f5cd
How researchers see this paper
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In Global and Planetary Change
- K. Piner
- Mark N. Maunder
- Felipe Hurtado-Ferro
- A. Whitten
- André E. Punt
- Anders Nielsen
- Casper W. Berg
In Nature and Landscape Conservation
- K. Piner
- Mark N. Maunder
- André E. Punt
- Felipe Hurtado-Ferro
- A. Whitten
- Anders Nielsen
- Casper W. Berg
Citations in the corpus
- Model selection for selectivity in fisheries stock assessments (2014, background): “Res. (2013), Sampson and Yin, 1998; Taylor et al.”
- Contemporary fisheries stock assessment: many issues still remain (2015, unknown): “Commonly, the variance parameters are fixed, but methods are available to estimate the variance parameters (Deriso et al., 2007; McAllister and Ianelli, 1997; Maunder, 2011).”
- Dealing with data conflicts in statistical inference of population assessment models that integrate information from multiple diverse data sets (2017, methodology): “Considerable research is going towards improving the methods used to generate model predictions (Quinn 2003; Maunder and Piner 2014) as well as the methods used to statistically compare predictions to data (Punt and Hilborn 1997; Maunder 2011; Francis 2013) and estimation algorithms (e.”