We describe a novel spatially and temporally detailed approach for determining the cause or causes of a population decline, using the western Alaskan population of Steller sea lions (Eumetopias jubatus) as an example. Existing methods are mostly based on regression, which limits their utility when there are multiple hypotheses to consider and the data are sparse and noisy. Our likelihood-based ...

Mixed Poisson regression models, a class of generalized linear mixed models, are commonly used to analyze count data that exhibit overdispersion. Because inference for these models can be computationally difficult, simplifying distributional assumptions are often made. We consider an influence function representing effects of infinitesimal perturbations of the mixing distribution. This function...

in this study, a total of 101,147 monthly test day records of somatic cell count collected from 13,977 first lactation holstein cows (in 183 herds) calved between 2002 and 2006 were used. for the genetic analysis, a random regression test day model was utilized. somatic cell score (scs) was calculated based on natural logarithm of somatic cell count. in the model, fixed effect of contemporary g...

An algorithm that computes nonparametric maximum likelihood estimates of a mixing distribution for a logistic regression model containing random intercepts and slopes is proposed. The algorithm identifies mixing distribution support points as the maxima of the gradient function using a direct search method. The mixing proportions are then estimated through a quadratically convergent method. Two...

Multiresolution tree-structured models are attractive when dealing with large amounts of spatial data in environmental sciences. With the multiresolution tree structure, a change-of-resolution Kalman filter algorithm has been devised to predict spatial processes in a computationally efficient manner (see, e.g., Huang and Cressie (1997) and Huang, Cressie and Gabrosek (2002)). In this article, w...

This paper explores statistical inferences when the lifetime of product follows inverse Nakagami distribution using progressive Type-II censored data. Likelihood-based and maximum spacing (MPS)-based methods are considered for estimating parameters model. In addition, approximate confidence intervals constructed via asymptotic theory both likelihood functions. Based on traditional functions, Ba...