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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 19 of 19 for “"smoothing parameter"”.
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Smoothing Parameter Selection In Nonparametric Functional Estimation
… to obtain completely data-driven choices of the smoothing parameter in functional estimation, within the confines of minimal assumptions. The focus of the study will be within the framework of the estimation of the distribution function, the density function and their multivariable extensions …
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On estimating the score function and the choice of the smoothing parameter with applications to adaptive estimations
… method of estimating score functions using smoothing spline techniques. Under mild regularity conditions, Cox's estimate is consistent and achieves the optimal rate of convergence. This approach is appealing not only because it is based directly on penalized likelihood methods for the score …
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Recursive methods for statistical prediction with applications
… is introduced to compute the generalized smoothing spline estimate, and it is especially useful in calculating the leave-one-out estimates. Two cross validation functions (Kullback-Leibler and least squares cross validation) for estimating the smoothing parameter in the generalized …
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A Survey of Applications of Spline Functions to Statistics.
… are splines, spline regression, spline smoothing, and estimating the smoothing parameter for spline regression. Also, we give a very brief discussion of multivariate splines in statistics and wavelets in statistics. Both of these topics are currently subjects for continuing research by …
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Nonparametric smoothing in extreme value theory
… splines are fitted to the location and scale parameters of the generalized extreme value distribution and the distribution of the r largest order statistics. Estimation is performed by implementing a Fisher scoring algorithm to maximize the penalized log-likelihood function. The approach …
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Modeling Daily Power Demand in Southern Kentucky: A Single Household Approach
… by using the goodness of fit metric, AICCI, for smoothing parameter selection. The statistical workflow was executed using SAS and data was provided by the Glasgow Electric Plant Board of Barren County, Kentucky. Results show that LOESS outperformed the autoregressive model in roughly 80% of all …
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Least squares mixture decomposition estimation
… far different from l/<i>n</i> for a reasonable smoothing parameter and, furthermore, many data points are assigned to zero weights after the optimization. This implies that LSMDE decomposes the underlying density function to a finite mixture distribution of <i>p</i> (< n) kernel functions. LSMDE …
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Fast and stable smoothing spline analysis of variance models for large samples with applications to electroencephalography data analysis
The current parameterization and algorithm used to fit a smoothing spline analysis of variance (SSANOVA) model are computationally expensive, making a generalized additive model (GAM) the preferred method for multivariate smoothing. In this thesis, I propose various approximations and algorithms to …
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An investigation into Functional Linear Regression Modeling
… Key aspects of FDA include the choice of smoothing techniques, data reduction, model evaluation, functional linear modeling and forecasting methods. FDA is applicable in numerous applications such as Bioscience, Geology, Psychology, Sports Science, Econometrics, Meteorology, etc. This …
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Radiotelemetry and Behavioral Ecology of Neonate Southern Pacific Rattlesnakes
… crossvalidation (LSCV), the preferred smoothing parameter for fixed kernel estimates. The neonates remained surface-active during the winter, with none overwintering communally. These findings demonstrate that individual snakes can be tracked successfully as neonates and, with further …
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A simplified vortex sheet roll-up method for formation flight
… plane using a linear vorticity panel method. A smoothing parameter as well as a truncation of the vortex sheet in the highly rolled-up areas are introduced in order to stabilize the computations. The trailing wing is simply modeled as a lifting line, and its induced drag is computed thanks to a …
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Monitoring for Chronic Wasting Disease in Mule Deer and White-Tailed Deer at Wind Cave National Park: Investigating an Emerging Epizootic
… deer mortalities; and 4) examine sample size and smoothing parameters on home ranges from GPS collars on home ranges for mule deer and coyotes (Canis latrans). For objective 1, we collected data between January 2003 and January 2005 on white-tailed deer in southeast and southwest Minnesota and …
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Bias Assessment and Reduction in Kernel Smoothing
… 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 exhibit varying …
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Statistical inference for dependent data
… distribution for the Wald statistics when the smoothing parameter is held fixed. Furthermore, we derive higher order Edgeworth expansions for the finite sample distribution of the Wald statistics in the Gaussian location model under the fixed-smoothing paradigm. The results are used to justify …
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Development and Characterization of a Fast Neutron Imaging Telescope (FNIT) for 1--20 MeV Neutrons From the Sun and Nuclear Material
… source spectrum for a given regularization (smoothing) parameter, lambda. Independent of the binning strategy, lambda is of order 10-6. We find that lambda +/- sigma results in a 2% error in total neutron counts; an error within +/-5-sigma results in a variation of ≤ 30% in total neutron …
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The Monitoring of Linear Profiles and the Inertial Properties of Control Charts
… for testing the constancy of the regression parameters in a linear profile data set. The performance of the proposed change point method is compared to that of the most effective Phase I linear profile control chart approaches using a simulation study. The advantage of the proposed change …
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Functional regression models in the frame work of reproducing kernel Hilbert space
… the estimation approach and the selection of the smoothing parameter are discussed in detail. The finite sample performance is illustrated by simulated examples and a real application.</p> <p>The function-on-scalar model concentrates on developing the simultaneous model selection and estimation …
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Flexible models and methods for longitudinal and multilevel functional data
… a likelihood-based method to select the smoothing parameters. Furthermore, we study the asymptotic behavior of the baseline P-spline estimator. We conduct simulation studies to investigate the performance of the proposed methods. The benefit of the between- and within-subject covariance …
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Essays in Monetary and Macroprudential Policies
… there is a wide range of the interest rate rule parameters for which the interest rate rule yields a lower macroeconomic volatility as compared with the exchange rate rule. In contrast the exchange rate rule yields higher social welfare for most of the inflation and output reaction parameters. …