Review and evaluation of likelihood functions for composition data in stock-assessment models: Estimating the effective sample size

58 citations recorded by the source corpus.

How researchers see this paper

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

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.”