Journal of Agricultural, Biological and Environmental Statistics
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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 ......
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......
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......
Using linear-bilinear models for studying gene expression × treatment interaction in microarray experiments
Journal of Agricultural, Biological and Environmental Statistics - Tập 10 - Trang 337-353 - 2005
In microarray experiments, the global and the specific gene expression in the two-way table of gene x treatments (or tissues) can be studied using linear-bilinear models that incorporate the main effects of genes (G), treatment (T), and gene x treatment interaction (G x T). The plot of the first two axes obtained from the singular value decomposition of the bilinear (multiplicative) term of these ......
Improving Crop Model Inference Through Bayesian Melding With Spatially Varying Parameters
Journal of Agricultural, Biological and Environmental Statistics - Tập 16 - Trang 453-474 - 2011
An objective for applying a Crop Simulation Model (CSM) in precision agriculture is to explain the spatial variability of crop performance and to help guide decisions related to the site-specific management of crop inputs. CSMs require inputs related to soil, climate, management, and crop genetic information to simulate crop yield. In practice, however, measuring these inputs at the desired high s......
Analysis of spatial point patterns using bundles of product density LISA functions
Journal of Agricultural, Biological and Environmental Statistics - Tập 6 - Trang 118-135 - 2001
The analysis of a spatial point pattern is often in volved with looking for spatial structure, such as clustering or regularity in the points (or events). For example, it is of biological interest to characterize the pattern of tree locations in a forest. This has traditionally been done using global summaries, such as the K-function or its differential, the product density function. In this artic......
The Micro-behavioral Framework for Estimating Total Damage of Global Warming on Natural Resource Enterprises with Full Adaptations
Journal of Agricultural, Biological and Environmental Statistics - Tập 21 - Trang 328-347 - 2016
This paper presents a novel methodology in which an individual’s optimization decisions are statistically decomposed into choices of systems, system-specific outcomes, and the overall outcome in an integrative framework. The methodology is applied to individuals’ decisions on natural resource enterprises given climatic changes. This paper finds that when the Goddard Institute scenario comes to pas......
Geostatistical hierarchical model for temporally integrated radon measurements
Journal of Agricultural, Biological and Environmental Statistics - Tập 13 - Trang 140-158 - 2008
In the search for important determinants of disease, epidemiologists often face the challenging task of retrospectively estimating exposures of interest. Such is the case in modern studies of the lung cancer risk posed by residential radon—a naturally occurring radioactive gas. Assessment of past radon exposures is limited because measurements are not generally available for the locations at which......
A hierarchical model for compositional data analysis
Journal of Agricultural, Biological and Environmental Statistics - Tập 10 - Trang 19-34 - 2005
This article introduces a hierarchical model for compositional analysis. Our approach models both source and mixture data simultaneously, and accounts for several different types of variation: these include measurement error on both the mixture and source data; variability in the sample from the source distributions; and variability in the mixing proportions themselves, generally of main interest.......
Estimation of Population Mean and Total in a Finite Population Setting Using Multiple Auxiliary Variables
Journal of Agricultural, Biological and Environmental Statistics - Tập 19 - Trang 161-184 - 2013
This paper introduces a new sampling design in a finite population setting, where potential sampling units have a wealth of auxiliary information that can be used to rank them into partially ordered sets. The proposed sampling design selects a set of sampling units. These units are judgment ranked without measurement by using available auxiliary information. The ranking process allows ties among r......
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