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 81 for “"polynomial regression"”.
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On the Optimality of Several Algorithms on Polynomial Regression of Empicial Bayes Poisson Model
… extensions of this problem to estimating polynomial functions of the Poisson parameter rather than just the parameter itself. We generalize three different algorithms for estimation, specifically the Robbins estimator from [2], the NPMLE method from [3], and the ERM method from [4]. For …
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Understanding neural network sample complexity and interpretable convergence-guaranteed deep learning with polynomial regression
… dimension and its width. Then, we introduce polynomial regression as a proxy for neural networks through a polynomial approximation of their activation function. This method operates in the lifted space of tensor products of input variables, and is trained by simply optimizing a standard …
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Testing regression models with residuals as data by Xia Hua.
Abstract In polynomial regression ... . In this thesis, I developed a residual based test, the turning point test for residuals, which tests the hypothesis that the kth order polynomial regression holds with ... while the alternative can simply be the negation or be more specific, e.g., polynomial …
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CROSS VALIDATION METHOD ON WEIGHTED ISOTONIC REGRESSION FOR NONPARAMETRIC REGRESSION FITTING
This thesis discusses the local polynomial regression and the isotonic regression method to solve the nonparametric regression problem subject to the non-decreasing condition. To solve the continuous isotonic regression problem, Pool Adjacent Violators Algorithm (PAVA) is used by updating the local …
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Perceived Change in Behavior Associated with Peer Feedback in Work Teams
… Organizations' Team Feedback System. Using polynomial regression, it was determined that time 1 peer ratings predicted behavior change and the combination of conscientiousness variables moderated peer perceived behavior change.
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Factors that influence the effectiveness of received support in sport
… study conducted in British and Chinese athletes. Polynomial regression analyses revealed that across both samples: 1) adequate support was associated with more favourable psychological outcomes, especially at higher levels of received and wanted support; 2) overprovision was associated with more …
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Bias Assessment and Reduction in Kernel Smoothing
When performing local polynomial regression (LPR) with kernel smoothing, the choice of the smoothing parameter, or bandwidth, is critical. The performance of the method is often evaluated using the Mean Square Error (MSE). Bias and variance are two components of MSE. Kernel methods are known to …
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Extrapolation and bandwidth choice in the regression discontinuity design
… contributions to the literature on the regression discontinuity (RD) design. The first two chapters develop approaches to the extrapolation of treatment effects away from the cutoff in RD and use them to study the achievement effects of attending selective public schools, known as exam …
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Reproducibility and validity of two anaerobic threshold methodologies with overweight women
… a concurrent hypocaloric diet. A computerized polynomial regression and four independent reviewers were used in an attempt to decrease the subjectivity of noninvasive AT estimation from data plots. Duplicate plots allowed determination of intra-reviewer variability for AT<sub>FEO2</sub> and …
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Set-based Particle Swarm Optimisation for Dynamic Optimisation Problems
… optimisation problems and dynamic multivariate regression problems, which involve bilevel optimisation over both continuous and discrete domains. After a review of relevant optimisation theory and related literature, the thesis first investigates strategies that improve the computational …
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Insect-Induced Forest Disturbance Impacts on Select Water Quality Parameters in a Closed Drinking Water Reservoir
… Identified parameters did not reflect linear or polynomial regression trends. This study determined that during the WHLM infestation outbreak, while DOC and UV254 did not significantly change, NOM character was significantly lower. The NOM character change could not be definitively linked to the …
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Testing the profitability of technical analysis in Singapore and Malaysian stock markets
… a pattern recognition algorithm based on local polynomial regression to identify technical chart patterns that is an improvement over the kernel regression approach developed by Lo, Mamaysky and Wang.
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The Development of a Reduced Order Model for Prediction of Haemodynamic and Biochemical Changes in a Computational Cerebral Aneurysm Thrombosis Model
… using machine learning algorithms. Multiple polynomial regression and logistic regression machine learning algorithms were used to predict clot size in patients. The K-nearest neighbours algorithm was used to develop a model that classifies patients' clotting profiles. The biochemistry was …
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Mathematical modeling of river water temperatures
… techniques, Fourier series analysis, and linear regression to the mathematical modeling of river water temperature is demonstrated. Consideration is also given to the problem of estimating thermal inputs to rivers from man-made sources such as electrical power plants. First, power spectral …
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Genetic diversity of midwestern oat germplasm
… behavior were examined via correlation and regression. Correlations, where significant, were low to moderate. Regressions, where significant, were primarily linear with low R('2) values. The regression of heterosis on Euclidean distance in one experiment was quadratic with a high R('2) …
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Height error mapping and compensation for a fused filament fabrication machine
… points in the machine's work envelope. A polynomial regression model is fitted to this measured data and used to generate height error predictions at each point in the volume of novel parts. Finally, height error compensation based on the aforementioned model is applied by modifying G-code …
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A study of some features of the fully stressed design algorithm
… the data points of available sections using a polynomial regression model with the section modulus as the independent design variable. Comparing the derived equations with two other published sets of equations demonstrates that the specific dependent functions used in an FSD solution …
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Can't we all just get along? The impact of goal orientation on the coach-athlete relationship and coach-athlete communication
… related to both variables of interest. Using polynomial regression and response surface analysis, results indicated that goal orientation congruence is an important determinant in both the quality of the coach-athlete relationship and coach-athlete communication. Implications for coaches and …
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Correlation Of Acoustic Emission Parameters With Weight And Velocity Of Moving Vehicles
… and the acoustic emission parameters. Also a polynomial regression of second order was found between the speed of vehicle and acoustic emission parameters. Road testing was conducted to investigate the correlation between weight of the vehicle and acoustic emission parameters. A linear …
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