Journal of Agricultural, Biological and Environmental Statistics
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Spatial Spread Sampling Using Weakly Associated Vectors
Journal of Agricultural, Biological and Environmental Statistics - Tập 25 - Trang 431-451 - 2020
Geographical data are generally autocorrelated. In this case, it is preferable to select spread units. In this paper, we propose a new method for selecting well-spread samples from a finite spatial population with equal or unequal inclusion probabilities. The proposed method is based on the definition of a spatial structure by using a stratification matrix. Our method exactly satisfies given inclu......
Optimization of Selective Phenotyping and Population Design for Genomic Prediction
Journal of Agricultural, Biological and Environmental Statistics - Tập 25 - Trang 579-600 - 2020
Genomic prediction, the joint analysis of high-density molecular marker data and phenotype to predict the performance of individuals for breeding purpose, is now a method used in routine in many plant and animal breeding programs. This opens several new design questions such as how to select a subset of preexisting individuals for phenotyping based on the molecular marker data to estimate marker e......
Bias Correction in Estimating Proportions by Imperfect Pooled Testing
Journal of Agricultural, Biological and Environmental Statistics - Tập 26 Số 1 - Trang 90-104 - 2021
A linear functional relationship model for circular data with an application to the assessment of ocean wave measurements
Journal of Agricultural, Biological and Environmental Statistics - - 2003
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 ......
Bayesian estimation of survival from mark-recapture data
Journal of Agricultural, Biological and Environmental Statistics - Tập 7 - Trang 264-276 - 2002
An understanding of survival patterns is a fundamental component of animal population biology. Mark-recapture models are often used in the estimation of animal survival rates. Maximum likelihood estimation, via either analytic solution or numerical approximation, has typically been used for inference in these models throughout the literature. In this article, a Bayesian approach is outlined and an......
An Integrated Approach to Empirical Bayesian Whole Genome Prediction Modeling
Journal of Agricultural, Biological and Environmental Statistics - Tập 20 Số 4 - Trang 491-511 - 2015
A Continuous Time-and-State Epidemic Model Fitted to Ordinal Categorical Data Observed on a Lattice at Discrete Times
Journal of Agricultural, Biological and Environmental Statistics - Tập 18 Số 4 - Trang 538-555 - 2013
We consider a spatio-temporal model to describe the spread of apple scab within an orchard composed of several plots. The model is defined on a regular lattice and evolves in continuous time. Based on ordinal categorical data observed only at some discrete instants, we adopt a continuous-time approach and apply a Bayesian framework for estimating unknown parameters.
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......
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