Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 27 for “"Variance Component"”.
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Variance component models in mapping imprinted genes : statistical theory and applications
Thesis (Ph. D.)--Michigan State University. Dept. of Statistics, 2010
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The Impact of Sample Size, Prevalence, Estimation Method and Other Factors When Estimating Multilevel Logistic Models
… models including estimation method, size of variance components, or number of predictors. This Monte Carlo study examined the performance of subject-specific binary outcome multilevel models under varying methods of estimation, level-1 and level-2 sample size, outcome prevalence, variance …
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Impact of Not Fully Addressing Cross-Classified Multilevel Structure in Testing Measurement Invariance and Conducting Multilevel Mixture Modeling within Structural Equation Modeling Framework
… multilevel data in testing measurement invariance, especially when the noninvariance exists at the between-level groups. We considered two design factors, intra-class correlation (ICC) and magnitude of factor loading differences. This simulation study showed low empirical power in …
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Optimal experimental designs for estimating the slope of a response surface
… function is expressed as the sum of a bias component and a variance component. An attempt is then made to obtain optimal designs with respect to each component. When the variance component is considered alone, moment conditions are obtained that characterize the optimal designs. Then …
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Genetics Analysis of Bone Size Variation of Hip, Spine and Wrist in Human Pedigrees
… age, sex and weight as covariates, I performed variance component analysis of bone sizes as quantitative traits with a polygenic component of variation. I also performed two-point and multi-point linkage analyses using the variance component linkage analysis method implemented in SOLAR. In my …
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Bayesian Kernel Models for Statistical Genetics and Cancer Genomics
… utility of kernel regression ap- proaches and variance component models for solving complex problems in statistical genetics and molecular biology. Many of these types of statistical methods have been developed specifically to be applied to solve similar biological problems. For example, kernel …
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Multivariate Applications of Bayesian Model Averaging
… is supported by the data. Using BMA allows a variance component due to the uncertainty of the model selection process to be estimated. The variance of any statistic of interest is conditional on the model selected so if there is model uncertainty then variance estimates should reflect this. …
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Computer generation of designs for two-phase experiments with applications to multiplex experiments in proteomics
… way is non-trivial. Theoretical analysis of variance (ANOVA) tables, showing the decomposition of the total variability in the data space into its constituent components of known sources of variation, and their corresponding degrees of freedom, are shown to play an important role in assessing …
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Topics in small area estimation with applications to the National Resources Inventory
… in which individual small area sampling variances are directly estimated is studied. This situation is not covered by standard asymptotic results (Prasad and Rao (1990)), which assume that a finite-dimensional parameter characterizes the small area variances. An approximation for the mean …
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Estimation of genetic parameters in two maize recurrent selection programs
… give direct estimates of additive and dominance variance in the individual populations. Fourteen sets of 4 male by 4 female matings for each of the populations were evaluated in a randomized incomplete block (Reps/Sets) experiment grown in multiple environments;RRS in BSSS produced the most …
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Generic Multisensor Integration Strategy and Innovative Error Analysis for Integrated Navigation
… noise measurements. iii) The a posteriori variance component estimation (VCE) was innovatively accomplished as an advanced analytical tool in the extended Kalman Filter employed by the GMIS, which makes possible the error analysis of the raw IMU measurements for the very first time, …
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METHODOLOGIES FOR ESTIMATING REPEATABILITY AND REPRODUCIBILITY VARIANCES IN MULTIVARIATE DATABASES
… MIR/NIR multivariate analysis such as Principal Component Analysis (PCA) are required to understand the influence of major experimental factors. However, many experiments in these studies have more complexes variability structures than simply comparing several treatments: they may include time …
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A diallel study of flowering and of ear components of yield in Corn Belt maize and their interactions with population density
… in strips across hybrid treatments. Analyses of variance and combining ability analyses were performed on traits measuring the timing of anthesis (pollen shed) and silk emergence, on ear components of yield, and on components of kernel size. Density effects were highly significant for all traits, …
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Stability analysis for soybean (Glycine max (l.) Merrill) Cultivars in Eastern South Dakota Environments
… interactions. Crop yield is also impacted by its component traits. It is important to identify cultivars with wide range of adaptation across various environments or specific adaptation in areas of interest. In this study, we grew 15 soybean cultivars provided by four seed companies at six …
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The use of real-time-ultrasound to predict genetic attributes of body composition traits in live beef cattle
… to validate the prediction models. BCT genetic variance and covariance parameters were computed at age- and weight-constant end points for bulls, steers, and both sexes combined using computer algorithms of MTDFREML for variance component estimation. Sire breeding values (BV) were ranked for …
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Studies on Estimation of Genetic Variances Under Nonadditive Gene Action
… additive, dominance and additive x additive variances in a population in linkage equilibrium. The theory employed for objective (1) involves an extension of Henderson's rapid method for inverting a numerator relationship matrix, and the approach taken was based on a recursive relationship …
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Some Advances in Classifying and Modeling Complex Data
… Many experiments are conducted with multiple variance sources. To increase the accuracy of the statistical modeling, the model need to be able to accommodate more than one error terms. In Chapter 4, I propose a variance component mixed model for a nano material experiment data to address the …
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Generalization of kernel machine methods for association testing of multi-omics data
Over the past couple of decades, genome-wide association studies (GWASs) have successfully identified thousands of loci associated with complex traits and diseases in humans. Despite the immense success of these statistical tools, post-GWAS, we are often left underwhelmed by findings that are …
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What Cost Hospital Quality: Performance Uncertainty Under Market Reform
… The unaccounted for systematic between-hospital variance was taken to estimate an "unspecified" hospital-specific institutional effect, independent of material-resource factors. The measurement model results for each of the quality indicators selected evidenced construct validity for …
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Mapping phenotypic traits in swine
… the SOLAR software package was used to perform a variance component analysis with a physical map created from the 43,486 SNP markers. Ninety-five QTL were detected using the QTLexpress software while 787 QTL were detected using the SOLAR software. Of these QTL, 40 of the QTL detected by QTLexpress …
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