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.
Results
Showing 1 to 20 of 23 for “"Non-parametric method"”.
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Three Essays on Fiscal Policy and Redistribution
… PNAD for 1990 on direct taxes. Specifically, a non-parametric method is used to compute the density of the skills distribution and the social welfare functions. Under assumptions on the households' preferences the estimations suggest that both American and Brazilian social welfare functions are …
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Structure and Structural Change in China's Economy
… inequality in China. The fourth essay employed a non-parametric method to examine spatial effects modeling the regional income disparity pattern in China. The main findings are that with the enlarging regional income disparity between the core region (coast) and the periphery region (west), …
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A Bayesian classification framework with label corrections
… it’s also universally applicable on top of any parametric or non-parametric method, such as the kernel method and Dirichlet Process (DP) priors. With a thorough study of the kernel and Dirichlet Process method, we successfully applied our framework onto these non-parametric methods and achieved …
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CableSplat: Optimized 3D Gaussian Splatting for 1D Deformable Pose Estimation
… In this thesis we propose CableSplat, a novel non-parametric method leveraging 3D Gaussian Splatting to estimate the pose of a linear deformable object given RGB images of the object from multiple viewpoints. To facilitate the evaluation of the performance of this method, we develop both …
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Problems related to efficacy measurement and analyses
… Kernel density estimation is a useful non-parametric method that has not been well utilized as an applied statistical tool, mainly due to its computational complexity. The current study shows that this method is robust even under correlation structures that arise during the computation …
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Parametric modeling of dependence of bivariate quantile regression residuals' signs
In this thesis, we propose a non-parametric method to study the dependence of the quantiles of a multivariate response conditional on a set of covariates. We define a statistic that measures the conditional probability of concordance of the signs of the residuals of the conditional quantiles of …
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Interpretable Physics-informed Machine Learning Methods for Scientific Modeling and Data Analysis
… recent advancement of modern machine learning methods, there are now many exciting opportunities to use machine learning in scientific research, including for modeling and data analysis. Machine learning has the potential to become an indispensable tool for scientific discovery, but it is often …
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Statistical model on student performance in UTHM by using non-parametric, semi-parametric and parametric survival analysis
… survival approach such as the Kaplan-Meier (KM) method in the non-parametric method, Cox model in semi-parametric model and survival and AFT models in parametric model. The results revealed that students with STPM-entrance qualification had the highest survival rate compared to Diploma and …
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The fate and distribution of subsurface hydrocarbons released during the 2010 MC252 oil spill in deep offshore waters of the Gulf of Mexico
… the challenge of variability in sample data, a non-parametric method of evaluating the percentage of detectable results, was used for all data analysis in addition to evaluation of total sample concentrations. The two analysis techniques yielded similar results. This approach may be useful in …
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Mathematical aggregation of probabilistic expert judgements
… This thesispresents two novel mathematical methods towards aggregating expert’s judgement throughlinear pooling. The first method is based on the empirical Bayes parametric formulation,and the second method is non-parametric. Both the chosen methods are compared usinga stimulation study. …
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Distributional modelling in forestry and remote sensing
… stand-level modelling work, and (ii) heuristic methods for use and analysis of distributions which occur in multi-temporal EO imagery, (for the inventory-related tasks of land-use mapping, change detection and growth modelling). In univariate distribution modelling, a new parameterization of the …
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Novel approaches to performance evaluation and benchmarking for energy-efficient multicast: empirical study of coded packet wireless networks
… This thesis studied existing coded packet methods for energy efficiency in ad hoc wireless networks and investigates efficiency frontier, which is the expected minimum energy within the minimum energy multicast framework. The energy efficiency performance was based on effective evaluation …
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Developing an accurate close-range photogrammetric technique for extracting 3D information from spherical panoramic images
… panoramas. This was achieved by developing a non-parametric method for the removal of distortions from images acquired from fisheye lenses as well as an algorithm, here referred to as the Minimum Ray Distance (MRD), for the fully automated approximate relative orientation of spherical …
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Neighborhood analysis methods in acoustic modeling for automatic speech recognition
… the problem of using nearest-neighbor based non-parametric methods for performing multi-class class-conditional probability estimation. The methods developed are applied to the problem of acoustic modeling for speech recognition. Neighborhood components analysis (NCA) (Goldberger et al. …
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Exploring the Effectiveness of Embedding a Course-Based Undergraduate Research Experience in a Science Content Course for Pre-Service Elementary Teachers
… the data violated normality assumptions, I used non-parametric method i.e. Wilcoxon signed-rank tests for analysis and calculated effect sizes (r). Science Identity scores were significantly higher at the end of the course, with a medium overall effect (r ≈ -0.31, p < .001). Performance (r = …
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Essays in policy evaluation and labor economics
… in California using the synthetic control method. This case study method forms a synthetic unit using a linear combination of other states in the U.S. as the control group. The results show substantial increases in firearm sales in California from the point of passage until the law becomes …
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Three essays in public finance
… local governments is calculated through a robust non-parametric method. These estimates are then used in a second step to evaluate how the local government’s efficiency varies with exogenous variation in royalties. The results indicate that royalties reduce efficiency in providing education and …
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Quantifying the impacts of climate and land use changes on the hydrological response of a monsoonal catchment
… investigated for trends using the Mann-Kendall non-parametric method. In summary, a general pattern has been revealed in which streamflow is increasing in all seasons upstream, but is decreasing in the dry season downstream. The pattern in streamflow downstream is fairly well matched by …
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Divide and recombined for large complex data: Nonparametric-regression modelling of spatial and seasonal-temporal time series
… dissertation, I briefly introduce one type of nonparametric regression method, namely local polynomial regression, followed by emphasis on one specific application of loess on time series decomposition, called Seasonal Trend Loess (STL). The chapter is closed by the introduction of D\&R; …
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Investigation of the Dynamic Performance of a Cable-Stayed Footbridge
… by interacting phenomena like cable nonlinearities, deck dynamic instability and deck lateral oscillations due to pedestrian walking. These phenomena, if intertwined, may bring these structures out of service or to failure. In view of a better performance, additional damping can be …
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