搜索结果: 1-14 共查到“知识库 mixed model”相关记录14条 . 查询时间(0.084 秒)
Using linear mixed model and dummy variable model approaches to construct compatible single-tree biomass equations at different scales – A case study for Masson pine in Southern China
aboveground biomass dummy variable model linear mixed model Pinus massoniana
2015/4/14
The estimation of forest biomass is important for practical issues and scientific purposes in forestry. The estimation of forest biomass on a large-scale level would be merely possible with the applic...
Mixed model with spatial variance–covariance structure for accommodating of local stationary trend and its influence on multi-environmental crop variety trial assessment
consistency ratio test wheat barley
2014/10/23
The most common procedure for analyzing multi-environmental trials is based on the assumption that the residual error variance is homogenous across all locations considered. However, this may often be...
Genomic Heritability of Bovine Growth Using a Mixed Model
Bovine Genome Growth Heritability Mixed Model Single Nucleotide Polymorphism
2016/5/17
This study investigated heritability for bovine growth estimated with genomewide single nucleotide polymorphism (SNP) information obtained from a DNA microarray chip. Three hundred sixty seven Korean ...
A Penalized Multi-trait Mixed Model for Association Mapping in Pedigree-based GWAS
Multivariate linear mixed model Penalization approach Feature selection 1 arXiv:1305.4413v1 [stat.ME] 19 May 2013 GWAS
2013/6/14
In genome-wide association studies (GWAS), penalization is an important approach for identifying genetic markers associated with trait while mixed model is successful in accounting for a complicated d...
Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies
Efficient computation a linear mixed model on large-scale data sets applications genetic studies
2012/9/19
Motivated by genome-wide association studies we consider astan-dard linear model with one additional random effect in situations where many predictors have been collected on the same subjects and each...
Using the Helmert-Transformation to Reduce Dimensionality in a Mixed Model: Application to a Wage Equation with Worker and Firm Heterogeneity
high-dimensional two-way unobserved components matched employer-employee data ECM-algorithm
2012/10/25
A model for matched data with two types of unobserved heterogeneity is considered ?one related to the observation unit, the other to units to which the observation units are matched. One or both of th...
A Poisson Mixed Model with Nonnormal Random Effect Distribution
Count data Generalized log-gamma distribution Multivariate negative binomial distribution Overdispersion Random-effect models
2011/6/17
We propose in this paper a random intercept Poisson model in which the random effect distribution
is assumed to follow a generalized log-gamma (GLG) distribution. We derive the first two moments
for...
A Note on an R^2 Measure for Fixed Effects in the Generalized Linear Mixed Model
Goodness-of-fit Correlated data Model selection Multiple correlation Maximum likelihood Nonnormal distribution
2010/11/8
Using the LRT statistic, a model V# is proposed for the generalized linear mixed model for
assessing the association between the correlated outcomes and fixed effects. The V# compares
the full model...
Analysis of 24-Hour Ambulatory Blood Pressure Monitoring Data using Orthonormal Polynomials in the Linear Mixed Model
Cubic Spline DASH Study Graphical Display
2010/10/19
The use of 24-hour ambulatory blood pressure monitoring (ABPM) in clinical practice and observational epidemiological studies has grown considerably in the past 25 years. ABPM is a very effective tech...
Sequencing Mixed-model Production Systems by Modified Multi-objective Genetic Algorithms
mixed-model production system sequencing parallel machine buffers
2011/8/3
As two independent problems, scheduling for parts fabrication line and sequencing for mixed-model assembly line have been addressed respectively by many researchers. However, these two problems should...
Generalised linear mixed model analysis via sequential Monte Carlo sampling
generalised additive models longitudinal data analysis nonparametric regression sequential Monte Carlo sampler
2009/9/16
We present a sequential Monte Carlo algorithm for the Bayesian analysis of generalised linear mixed models (GLMMs). These models support a variety of interesting regression-type analyses, but performi...
Fence methods for mixed model selection
Adaptive fence consistency F-B fence finite sample performance GLMM linear mixed model model selection
2010/4/30
Many model search strategies involve trading off model fit with
model complexity in a penalized goodness of fit measure. Asymptotic
properties for these types of procedures in settings like linear
...
The susceptibility of a mixed model measure of emotional intelligence to faking:a Solomon four-group design
emotional intelligence test faking pre-testing effects assessment selection
2009/12/21
This study used a Solomon four-group design to investigate the fakability of a widely used measure of emotional intelligence (EI). Administration instructions (faking/honest-response) and testing effe...
Genetic and Phenotypic Evaluation of Milk and Fat Production Traits and Their Interrelationship in (Zebu×European) Crossbred Cattle Using Parent Group Mixed Model
Heritability Phenotypic and Genetic Correlations Zebu??European Crossbreds
2016/4/13
Data pertained to 335 crossbred cows comprising of 1/2 Friesian (F) + 1/2 Hariana (H), 1/2 F + 1/4 Jersey (J) + 1/4 H, 1/2 F + 1/4 Brown Swiss (BS) + 1/4 H, 1/2 F + 1/4 Red Dane (R) + 1/4 H, FR (I) an...