Article

Review of State-Space Models for Fisheries Science

Fisheries science is concerned with the management and understanding of the raising and harvesting of fish. Fish stocks are assessed using biological and fisheries data with the goal of estimating either their total population or biomass. Stock …

Aggregate Patterns of Macrofaunal Diversity: An Interocean Comparison

While geographical patterns of species richness are reasonably well explored for single well-studied taxa, less is known about aggregate patterns of total richness for major biomes and their environmental correlates. Here we analyse continental-scale …

Saddlepoint Tests for Accurate and Robust Inference on Overdispersed Count Data

We are concerned with testing composite hypotheses about regression coefficients in small samples when the response variable consists of overdispersed counts. We adapt three recently developed tests to the negative binomial regression model and …

TError: Towards a Better Quantification of the Uncertainty Propagated during the Characterization of Tephra Deposits

We present TError, a Matlab package designed to quantify systematically the uncertainty associated with the characterization of tephra deposits, in which the most commonly used methods to quantify eruption source parameters are implemented. Inputs of …

Robust Inference in the Negative Binomial Regression Model with an Application to Falls Data

A popular way to model overdispersed count data, such as the number of falls reported during intervention studies, is by means of the negative binomial (NB) distribution. Classical estimating methods are well-known to be sensitive to model …