I recently provided advice on the use of “single-fit” bootstrapping to obtain confidence intervals for indices of relative abundance, when fitting a delta-lognormal model to fisheries data. The key idea is that of resampling the model parameters from a multivariate normal distribution. This is computationally nice as it allows a parametric bootstrap confidence interval toContinue reading “Faster bootstrap intervals for indices of relative abundance”
Category Archives: New research
Testing lack-of-fit in phylogenetics
I am currently working with David Bryant at Otago University on testing lack-of-fit of a model in phylogenetics. It’s great to be able to use my research experience in estimating overdispersion on an important scientific problem. One of the key aspects of the problem is the sparseness in the data, which are multinomial with aContinue reading “Testing lack-of-fit in phylogenetics”
Two new papers
It’s been great to have these two papers come out in the last couple of weeks: Model-averaged confidence distributions: https://link.springer.com/article/10.1007/s10651-019-00432-5 Estimating overdispersion in sparse multinomial data:https://onlinelibrary.wiley.com/doi/10.1111/biom.13194
David Fletcher Consulting 