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 18 of 18 for “"Forward Selection"”.
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Classification Tree Models for Predicting Cancer Status
… early stage detection, logistic regression (with forward selection) and classification tree models were applied as statistical methods. Furthermore, complexity parameters and the number of bootstrap samples were varied to assess the effect on sensitivity and specificity. The receiver operating …
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The Environmental Factors Regulating the Distribution of Crayfish in the Upper Green River Basin Kentucky, USA
… canonical correspondence analysis in the forward selection procedure was performed to reduce the number of environmental variables in the gravel-cobble/cobble-small boulder segments and large boulder segments. The second CCA performed between crayfish species and environmental variables …
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Genetic Association Mapping : Missing Markers, Epistatic Effects, and Applications
… for these studies is large. On the other hand, selection of several sets of DNA markers with potential epistasis associated with target traits will greatly help plant improvement via a marker assisted selection approach. In this study, we first proposed a linkage-based imputation method for …
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A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling
… as the need for analyzing big data increases. Forward selection and penalized regression models (such as LASSO, Ridge Regression, and Elastic Net) are simple modifications of multiple linear regression that can provide some guidance on simplifying a model through variable selection. Dimension …
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Non-Invasive Motion Detection and Classification in NICU Patients using Ballistographic Signals from a Pressure Sensitive Mat
… features were derived from the COP, and feature selection was done using out-of-bag-error ranking and sequential forward selection. It was found that using a sample imputation approach of adding ~13 minutes of hand-annotated new subject data to the training set makes the classifier most useful, …
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Factors limiting the regeneration of large-seeded hardwoods in the Upper Coastal Plain of South Carolina
… was regressed against all variables using forward selection (P=0.15). Soil moisture significantly affected survival in 12.5% and biomass growth in 16.7% of the regressions. Light availability significantly impacted biomass growth in 8.3% of the regressions. Neither leaf nor stem herbivory …
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Contributions to Variable Selection in Complexly Sampled Case-control Models, Epidemiology of 72-hour Emergency Department Readmission, and Out-of-site Migration Rate Estimation Using Pseudo-tagged Longitudinal Data
… model was built using automatic variable selection with forward selection with backwards elimination. Our results show that sunscreen usage, level of agreeing with the statement "behaviors can affect high blood pressure", age, intent to eat more or less fruit, average daily hours spent …
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An Investigation Of The Ecology Of Nesting Golden Eagles In North Dakota
… model, with a significance of 0.10, for both forward selection and backward elimination resulted in selection of the explanatory variables: Slope, Large Tree Woody Habitat, Cropland, Erodibility, Native Prairie, and Aspect with an AIC value of 365.71. Slope (SL), Large Tree Woody Habitat (LW), …
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Computational Intelligence Techniques for OES Data Analysis
… metrology, anomaly detection and variables selection is fundamental in order to effectively use OES measurements in a production process. This thesis focuses on computational intelligence techniques for OES data analysis in semiconductor manufacturing presenting both theoretical results and …
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Predicting Emotion Regulation in Early Childhood: The Impact of Maternal Well-Being, Infant Crying, and Dyadic Mutuality
… models best represent these data. Finally, forward selection model building was used to create a simple model to predict each emotion regulation variable. The best fit model to predict internalizing symptoms contained parenting stress alone. Parenting stress and perception of crying as …
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Penalised regression for high-dimensional data: an empirical investigation and improvements via ensemble learning
… on three related goals --- prediction, variable selection and variable ranking --- and consider six widely used methods. The results are supported by a semi-synthetic data example. Our empirical results complement existing theory and provide a resource to compare performance across a range of …
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Statistical model selection techniques for the cox proportional hazards model: a comparative study
… common Cox proportional hazards model selection techniques and a random survival forest technique were compared using five performance criteria measures. These performance measures were concordance index, integrated area under the curve, and , and R2 . To carry out this exercise, a …
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INFERENCE AFTER VARIABLE SELECTION
… + ... + beta_p x_p + e after model or variable selection, including prediction intervals for a future value of the response variable Y_f, and testing hypotheses with the bootstrap. If n is the sample size, most results are for n/p large, but prediction intervals are developed that may increase …
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Predictors of Quality of Life for African American Women Who Assist Persons Who Receive Dialysis
… independent t-test, and backward elimination, forward selection, and step-type multiple regression analysis. The caregivers in this sample rated their QoL as moderate. Caregivers also reported clinically significant depressive symptom scores, little to no stress, and were satisfied with their …
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Electric load forecasting with increased embedded renewable generation
… as case studies. <br/><br/>Motivation for the selection of key model structures, in particular the same day last week (SDLW) structure, which is employed with various model topologies throughout the thesis, is derived from a detailed analysis of the characteristics of these load time series. …
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Predição genômica via redução de dimensionalidade em modelos aditivo dominante
… a Seleção Genômica Ampla (Genome Wide Selection – GWS) cuja abordagem envolve a cobertura completa do genoma utilizando milhares de marcadores SNPs (Single Nucleotide Polymorphisms). O objetivo é estimar o mérito genético dos indivíduos e para tal, as pesquisas realizadas na GWS se …
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Environmental, Biochemical, and Dietary Factors that Influence Rumen Development in Dairy Calves
… variables on the performance variables. Forward selection, multiple regression was used to derive equations to select variables that explained variation in the response variable in each model. Results showed that the variation in calf ADG was explained by daily forage intake, calves that …
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Phenotypic response to selection for protein in maize kernels
Long-term, divergent selection for protein concentration in maize grain has been conducted at the University of Illinois since 1896. Grain protein concentration in maize and other cereal crops is strongly associated with productivity, nutritional quality, and processing characteristics. Although …