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 12 of 12 for “"Spline Regression"”.
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A Survey of Applications of Spline Functions to Statistics.
… provides a survey study on applications of spline functions to statistics. We start with a brief history of splines. Then, we discuss the application of splines to statistics as they are applied today. Several topics included in the discussion are splines, spline regression, spline …
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Penalized spline modeling of the ex-vivo assays dose-response curves and the HIV-infected patients' bodyweight change
… from the population average. Here, a penalized spline regression method that allows modeling of the smooth dose-response relationship is applied to data in studies monitoring malaria drug resistance through the ex-vivo assays.The second part of the dissertation extends the SiZer map, which is an …
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Comparison of Trend Detection Methods
… by estimating the slope coefficient in a regression model where the response variable is an index of population size, and time is the explanatory variable. Linear trend is often unrealistic for biological populations; in fact, many critical environmental changes occur abruptly as a result …
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Comparison of Trend Detection Methods
… by estimating the slope coefficient in a regression model where the response variable is an index of population size, and time is the explanatory variable. Linear trend is often unrealistic for biological populations; in fact, many critical environmental changes occur abruptly as a result …
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The Advancements on the Interface of Statistical Computing, Survival Analysis, and Degradation Analysis
… conclusions. This dissertation also introduces a spline-based method to describe the effects of covariates. Unlike traditional spline regression methods, this approach does not suffer from overfitting and can model covariate effects under shape constraints.
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Surrogate Model Assisted Nested Simulation with Applications to Variable Annuity Portfolio Valuation and Hedging
… sampling to reduce the number of policies, and a spline regression framework with scenario clustering to reduce the number of outer-/inner-loops. The proposed algorithm is applied to perform various valuations for large synthetic VA portfolios such as calculating the predictive liability …
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Genetic, environmental and life-style effects on androgen receptor function
… number and reproductive outcome, an unprejudiced spline regression model with CAG number as a continuous variable was used, as well as a stratified model and in case of linear pattern, CAG number was investigated in a linear regression model. We found that the CAG variant with the median length …
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Modern Methods for Variable Significance Testing
… that the data are jointly Gaussian. A novel regression-based test, called the Generalised Hilbertian Covariance Measure (GHCM), is presented and theoretical guarantees for uniform asymptotic Type I error control are provided with the key assumption requiring that the product of the mean …
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Nonparametric metamodeling for simulation optimization
… using sample data. In particular, nonparametric regression is proposed as a useful tool in the global optimization of a response surface. As the general simulation optimization problem is very difficult and requires expertise from a number of fields, there is a growing consensus in the literature …
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Semiparametric Bayesian Approach using Weighted Dirichlet Process Mixture For Finance Statistical Models
… topics. The first one is semiparametric cubic spline regression where we adopt a nonparametric prior for error terms in order to automatically handle heterogeneity of measurement errors or unknown mixture distribution, the second one is to provide an innovative way to construct weight function …
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Flexible models and methods for longitudinal and multilevel functional data
… part of this dissertation, we propose penalized spline (P-spline)-based methods for functional mixed effects models with varying coefficients. This work is motivated by a clinical study of Complicated Grief (Shear et al. 2005). In the Complicated Grief Study, patients receive active treatment …
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Essays on driving factors of migration: From regional to metro perspectives
… taxes on migration. Specifically, it applied a spline regression to the dataset of Moretti and Wilson (2017) and observe different nonlinear patterns in the effects of four types of taxes on scientist migration. Then it uses bin regression to confirm the statistical significance of observed …