Reliable estimates of survival and dispersal are crucial to understanding population dynamics, but for seabirds, in which some individuals spend years away from land, mortality emigration often confounded. Multistate mark–recapture methods reduce bias by incorporating movement into the process estimating survival. We used a multistate model provide unbiased age‐specific probabilities Endangered African Penguin S pheniscus demersus based on 5281 nestlings 31 049 adults flipper‐banded...

Occupancy models (Ecology, 2002; 83: 2248) were developed to infer the probability that a species under investigation occupies site. Bayesian analysis of these can be undertaken using statistical packages such as WinBUGS, OpenBUGS, JAGS, and more recently Stan, however, since not specifically fit occupancy models, one often experiences long run times when undertaking an analysis. spatial single-season also R package stocc. The approach assumes detection regression effects are modeled probit...

A campaign for malaria control, using Long Lasting Insecticide Nets (LLINs) was launched in South Sudan 2009. The success of such a often depends upon adequate available resources and reliable surveillance data which help officials understand existing infections. An optimal allocation control at sub-national scale is therefore paramount to the efforts reduce prevalence. In this paper, we extend an SIR mathematical model capture effect LLINs on transmission. Available utilized determine...

In this article we assess the suitability of two new ridge estimators by means a simulation study. We compare these with well-known estimators. also make direct comparisons between ordinary least squares (OLS) estimator and using ratio average total mean square error OLS find that perform well under certain conditions.

Detection-nondetection data are often used to investigate species range dynamics using Bayesian occupancy models which rely on the use of Markov chain Monte Carlo (MCMC) methods sample from posterior distribution parameters model. In this article we develop two Variational Bayes (VB) approximations a single-season site model uses logistic link functions probability occurrence at sites and detection probabilities. This task is accomplished through development iterative algorithms that do not...

A regression simulation study investigates the behaviour of ICOMP, AIC, and BIC under various collinearity-, sample size-, residual variance-levels. When variation in design matrix is large, as collinearity levels increased, agreement percentages for all information criteria decreased monotonically that ICOMP agreed with Kullback Leibler model more often. As variance increases, decreases. However, size increased increased. low low, decreases such often than both AIC BIC.

Ecology and biodiversity research are underpinned by species richness patterns their environmental drivers. However, a key topic in this discussion is the accuracy of these which greatly dependent on detection probabilities. Due to variations species, true ecological may be distorted. This particularly for subtidal macro‐infaunal communities. We tested three hypothesized relationships between marine benthic macrofaunal diversity depth using per site estimated with capture–recapture...

In this article, we investigate the behavior of Bozdogan's Information criterion (ICOMP) and other information criteria in a time series context. The study entails simulating stationary autoregressive moving average models 1,000 times then fitting different to simulated series. Different will be considered by changing size residual variance as well sample It was found that under certain conditions ICOMP selects correct model most often, although it is suggested no single should used...

Abstract Multi-species occupancy (MSO) models use detection-nondetection data from several species observed at different locations to estimate the probability that a particular occupies geographical region. The are particularly useful for estimating probabilities associated with rare since they seldom when undertaking field surveys. In this paper, we develop Gibbs sampling algorithms can be used fit various Bayesian MSO data. analysis of these undertaken using statistical packages such as...