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 224 for “"Statistical modeling"”.
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Statistical modeling of heterogeneous data
This dissertation is centered on the modeling of heterogeneous data which is ubiquitous in this digital information age. From the statistical point of view heterogeneous data is composed of dissimilar components, where objects in each component are homogeneous themselves. One such example from the …
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Robust Statistical Modeling In Functional Linear Regression
… distributions in the data. Consequently, robust statistical analysis remains an underdeveloped practice in this area. The primary objective of this dissertation is to enhance the utilization of robust methods for modeling functional linear regression by primarily focusing on robust estimation …
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Statistical Modeling of Longitudinal Medical Cost Data
<p>Projecting the future cancer care cost is critical in health economics research and policy making. An indispensable step is to estimate cost trajectories from an incident cohort of cancer patients using longitudinal medical cost data, accounting for terminal events such as death, and right …
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Wavelet-Based Statistical Modeling and Image Estimation
Third, it has been noticed in image estimation practice that a translation invariant (TI) wavelet transform enhances estimation performance. We analyze the conventional complete wavelet transform and the TI wavelet transform from the viewpoints of approximation and estimation theory. First, we show …
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On the Statistical Modeling of Radar Targets
Made available in DSpace on 2014-12-10T19:07:10Z (GMT). No. of bitstreams: 1 7317483.pdf: 3525145 bytes, checksum: 804b758103453d7aa95572083dcdc567 (MD5) Previous issue date: 1972
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Statistical modeling of protein lysate array data
… modifications and protein pathway relationships. Statistical inference for a parametric quantification procedure has been inadequately addressed in the literature, mainly due to two challenges: the increasing dimension of the parameter space and the need to account for dependence in the data. Each …
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Statistical modeling of aircraft engine fuel burn
… burn estimates. Additionally, existing fuel burn modeling tools provide deterministic predictions, thereby not capturing the operational variability seen in practice. This thesis proposes an alternative model architecture that enables the development of data-driven, statistical models of fuel …
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Statistical modeling for land mobile satellite communications
… of current literature and experiments. The modeling of the cumulative distribution function for a totally vegetatively shadowed mobile (VS distribution) is presented. The VS distribution is then used in a model for the cumulative distribution function of a partially shadowed mobile. The …
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Statistical Modeling of Wave Chaotic Transport and Tunneling
… waves. Our second problem area concerns the statistical properties of the impedance matrix (related to the scattering matrix) describing the input/output properties of waves in cavities in which ray trajectories that are regular and chaotic coexist (i.e., `mixed' systems). The impedance can …
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Statistical modeling of radiation detection and imaging system
In the development of SPECT system for imaging small animal in vivo, higher spatial resolution is continuously sought to provide improved spatial detail and image quality. However, the pursuit of high resolution often results in the poor photon collection efficiency and limited quantitative …
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Convex optimization methods for graphs and statistical modeling
… We provide theoretical guarantees of the statistical consistency of this convex program in the high-dimensional scaling regime in which the number of latent/observed variables grows with the number of samples of the observed variables. The algebraic varieties of sparse and low-rank …
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Statistical modeling and simulation of mobile satellite propagation
… cause signal fading. This paper discusses the statistical modeling and simulation of the land mobile satellite fading environment. Simple models are developed to approximate the complex analytical expressions for the fade distributions. The Average Path Model, which relates the physical …
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Neural networks as a tool for statistical modeling
… often as alternatives to traditional statistical models. As a result, their performance needs to be examined in a statistical framework. Following a brief overview of many types of neural networks, details concerning the implementation of the single hidden layer feedforward neural …
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Applications of Statistical Modeling in Iterative CT Image Reconstruction
… are performed at low x-ray dose, and advanced statistical estimation techniques have been shown to produce higher quality images than FBP. This work presents two applications of statistical modeling in CT image reconstruction. The first application discusses the statistics of CT data noise, and …
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Statistical Modeling Approaches For The Inference of Cancer Mechanisms
… can control the type I error and increase the statistical power. When applied to The Cancer Genome Atlas (TCGA) colon cancer tumor samples, our framework identified more eGenes (genes with at least one significant eQTL) than the method that does not account for copy number alterations.</p>
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Statistical modeling of longitudinal survey data with binary outcomes
… arising due to repeated measurements. The statistical methods used for analyzing such data should account for stratification, clustering and unequal probability of selection as well as within-subject correlations due to repeated measurements. The complex multi-stage design approach has been …
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Novel statistical modeling of sleep patterns in Drosophila melanogaster
… of sleep. In this work, a framework based on statistical modeling methods is developed for sleep data collected on fruit flies to identify a set of novel sleep characteristics that can predict fly lifespan. These models are used to predict an independent set of flies into long- and short-lived …
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Mathematical Scaling and Statistical Modeling of Geopressured Geothermal Reservoirs
… is expensive. The use of scaling and statistical modeling is one approach to translate the output of a simulator into quick models with general applicability at all scales. The developed models can quickly estimate temperature and thermal energy recovery from the …
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Statistical modeling and analysis of partially observed infectious diseases
This thesis is concerned with the development of Bayesian inference approach for the analysis of infectious disease models. Stochastic SIS household-based epidemic models were considered with individuals allowed to be contracted locally at a given rate and there also exists a global force of …
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