Statistics – Applications
Scientific paper
2008-07-23
Statistics
Applications
Submitted for formal publication. Withdrawn due to journal requirments
Scientific paper
Statistical multispecies models of multiarea marine ecosystems use a variety of data sources to estimate parameters using composite or weighted likelihood functions with associated weighting issues and questions on how to obtain variance estimates. Regardless of the method used to obtain point estimates, a method is needed for variance estimation. A bootstrap technique is introduced for the evaluation of uncertainty in such models, taking into account inherent spatial and temporal correlations in the data sets thus avoiding many model--specification issues, which are commonly transferred as assumptions from a likelihood estimation procedure into Hessian--based variance estimation procedures. The technique is demonstrated on a real data set and used to look for estimation bias and the effects of different aggregation levels in population dynamics models.
Kupca Vojtech
Stefansson Gunnar
Taylor Lorna
Trenkel Verena M.
No associations
LandOfFree
A bootstrap method for estimating bias and variance in statistical multispecies models using highly disparate data sets does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A bootstrap method for estimating bias and variance in statistical multispecies models using highly disparate data sets, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A bootstrap method for estimating bias and variance in statistical multispecies models using highly disparate data sets will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1078