Journal of Agricultural, Biological and Environmental Statistics
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Comparison of spatial variables over subregions using a block bootstrap
Journal of Agricultural, Biological and Environmental Statistics - Tập 9 - Trang 91-104 - 2004
In environmental and agricultural studies, it is often of interestto compare spatial variables across different regions. Traditional statistical tools that assume independent samples are inadequate because of potential spatial correlations. In this article, spatial dependence is accounted for by a random field model, and a non parametric test is developed to compare the overall distributions of va......
Genomic Prediction Models for Count Data
Journal of Agricultural, Biological and Environmental Statistics - Tập 20 - Trang 533-554 - 2015
Whole genome prediction models are useful tools for breeders when selecting candidate individuals early in life for rapid genetic gains. However, most prediction models developed so far assume that the response variable is continuous and that its empirical distribution can be approximated by a Gaussian model. A few models have been developed for ordered categorical phenotypes, but there is a lack ......
Randomization tests for time effects and heterogeneity in capture probabilities for closed populations
Journal of Agricultural, Biological and Environmental Statistics - Tập 6 - Trang 292-301 - 2001
We propose the use of randomization tests to detect time effects and heterogeneity in capture probabilities of individuals in a closed-population mark-recapture study. The results of a simulation study show the randomization procedures can be implemented so that tests are robust to extraneous sources of variation, with good power to detect the desired effects. We apply the tests to two examples of......
Autoregressive moving average models of conifer crown profiles
Journal of Agricultural, Biological and Environmental Statistics - Tập 7 - Trang 558-573 - 2002
A time-series autoregressive moving average (ARMA) approach was used to develop stochastic models of tree crown profiles for five conifer species of the Sierran mixed conifer habitat type. Models consisted of three components: (1) a polynomial trend: (2) and ARMA model; and (3) rand om error. A Bayesian information criterion was used to evaluate alternative models. It was found that 70% of the cro......
Random generation and selection of one- and two-dimensional designs for experiments on blocks of natural size
Journal of Agricultural, Biological and Environmental Statistics - Tập 8 - Trang 67-74 - 2003
Many incomplete block design strategies have been devised to improve the efficiency of experiments. However, the constraints imposed by these designs can be unrealistic because natural blocks may not be all the same size or there may be no conventional designs for required treatment, replication, block and plot combinations. In addition, because of similar constraints, two-dimensional block design......
Comparing mixture estimates by parametric bootstrapping likelihood ratios
Journal of Agricultural, Biological and Environmental Statistics - Tập 9 - Trang 57-74 - 2004
Wildlife managers and researchers often need to estimate the relative contributions of distinct populations in a miture of organisms. Increasingly, there is interest in comparing these mixture contributions across space or time. Comparisons usually just check for overlap in the interval estimates for each population contribution from each mixture. This method inflates Type I error rates, has limit......
Unilateral Conformance Proportions in Balanced and Unbalanced Normal Random Effects Models
Journal of Agricultural, Biological and Environmental Statistics - Tập 19 - Trang 202-218 - 2014
Conformance proportion is the proportion of a performance characteristic of interest that falls within a prespecified acceptance region, which has been used in various applications. In this article, a simple closed-form interval estimation, based on Student’s t statistic, is proposed for unilateral conformance proportions in balanced and unbalanced random-effects models. Two real datasets are anal......
Multivariate Modeling of Precipitation-Induced Home Insurance Risks Using Data Depth
Journal of Agricultural, Biological and Environmental Statistics - - Trang 1-20 - 2023
While political debates on climate change become increasingly heated, our houses and city infrastructure continue to suffer from an increasing trend of damages due to adverse atmospheric events, from heavier-than-usual rainfalls to heat waves, droughts, and floods. Adapting our homes and critical infrastructure to sustain the effects of climate dynamics requires novel data-driven interdisciplinary......
Sample Size for Estimating Disease Prevalence in Free-Ranging Wildlife Populations: A Bayesian Modeling Approach
Journal of Agricultural, Biological and Environmental Statistics - - Trang 1-17 - 2023
A two-parameter model and a Bayesian statistical framework are proposed for estimating prevalence and determining sample size requirements for detecting disease in free-ranging wildlife. Current approaches tend to rely on random (ideal) sampling conditions or on highly specialized computer simulations. The model-based approach presented here can accommodate a range of different sampling schemes an......
Model-Based Geostatistics Under Spatially Varying Preferential Sampling
Journal of Agricultural, Biological and Environmental Statistics - - Trang 1-27 - 2023
Geostatistics is concerned with the estimation and prediction of spatially continuous phenomena using data obtained at a discrete set of locations. In geostatistics, preferential sampling occurs when these locations are not independent of the latent spatial field, and common modeling approaches that do not account for such a dependence structure might yield wrong inferences. To overcome this issue......
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