Browsing by Author "Billor, Nedret"

Now showing items 21-40 of 43

Location-Scale Bivariate Weibull Distributions For Bivariate

Han, Yi (2005-12-15)

Much research has been conducted over the last thirty years in the development and characterization of bivariate survival distributions. Typically, the multivariate distribution is derived assuming that the marginal ...

Manufacturing Cost Prediction in the Presence of Categorical and Numeric Design Attributes

Sakinc, Eren (2016-07-27)

Manufacturing processes require not only physical operation capabilities but also non-physical management policies. When designing a new product or manufacturing a customer’s new unique design, the focal point is to establish ...

New Classes of Multivariate Gamma Survival and Reliability Models

Diawara, Norou (2006-08-15)

Multivariate modeling and analysis based on the multivariate normal distribution is well established and widely used. However, when the marginal distributions have only a positive support, such as time-to-event models, ...

New Statistical Learning for Next-Generation Functional Data and Spatial Data

Wang, Shuoyang (2022-03-18)

Advancements of modern technology have enabled the collection of sophisticated, high-dimensional data sets, such as 3D images, high dimensional data and other objects living in a functional space. As such, boosting the ...

Next-Gen Thermal Management for Electronics in Space – Asymmetric Sawtooth and Cavity-Enhanced Nucleation-Driven Transport (ASCENT)

Sridhar, Karthekeyan (2023-08-29) ETD File Embargoed

Nucleate pool boiling in microgravity is characterized by stagnant vapor bubble dynamics, leading to early dryout of the heated surface compared to terrestrial conditions. The Asymmetric Sawtooth and Cavity-Enhanced ...

On Functional Sure Independence Screening (fSIS) and Dynamic Spectral Featuring Extraction for Neuroscience Data

Yuan, Yuan (2021-12-07) ETD File Embargoed

This dissertation is composed of two parts. The first part introduces a methodology for high-dimensional functional variable screening and selection--the functional sure independent screening (fSIS). The fSIS method is an ...

On the existence of even and k-divisible-matchings

Moore, Emilia (2008-05-15)

The concept of an an even matching was first introduced by Billington and Hoffman. They were used to find gregarious 4-cycle decompositions of $K_{8t(a),b}$ with a and b odd. Their paper contains even matchings of type ...

Rank Based Group Variable Selection for Functional Linear Model

Park, Jieun (2019-12-09)

We propose a robust rank based variable selection method for a functional linear regression model with multiple explanatory functions and a scalar response. The procedure extends rank based group variable selection to ...

Rank-Based Methods for Single-Index Varying Coefficient Models

Sun, Wei (2017-06-27)

The single-index varying coefficient model has received much attention due to its flexibility and interpretability in recent years. This dissertation is mainly concerned with the rank-based estimation and variable selection ...

Robust Group Variable Selection Methods for Multiple Functional Regression Model

Pannu, Jasdeep (2015-07-29)

With the advancements in science and ever changing technology to collect data, functional data have become common these days, especially in various fields such as neuroscience, chemometrics, e-commerce and computer science. ...

Robust Methods for Functional Data Analysis

Sawant, Pallavi (2009-07-06)

Functional data consist of observed functions or curves at a finite subset of an interval. Each functional observation is a realization from a stochastic process. This thesis aims to develop suitable statistical methodologies ...

Robust Methods for Multivariate Functional Data Analysis

Sawant, Pallavi (2013-07-16)

In the present work we have proposed a robust multivariate functional principal component analysis (RMFPCA) method, that is efficient in estimation and fast in computation, to achieve dimension reduction of dataset and to ...

Robust Nonparametric Discriminant Analysis Procedures

Nudurupati, Sai (2009-05-15)

In this study, a nonparametric discriminant analysis procedure that is less sensitive than traditional procedures to deviations from the usual assumptions is proposed. The procedure uses the projection pursuit methodology ...

Robust Partial Least Squares for Regression and Classification

Turkmen, Asuman (2008-08-15)

Partial Least Squares (PLS) is a class of methods for modeling relations between sets of observed variables ...

Robust Simultaneous Inference for Functional Data

Costa Lima, Italo Raony (2017-04-20)

Advancements in modern technology have enabled the collection of complex, high- dimensional data sets, such as curves, 2D or 3D images, and other objects living in a functional space, thus boosting the investigation of ...

Robust Statistical Methods for the Functional Logistic Model

Denhere, Melody (2013-07-10)

Over the last decade or so, a lot of interest has emerged in the field of functional data analysis. This interest spans from a broad spectrum of fields such as brain imaging studies, bio-metrics, genetics, e-commerce and ...

Robust Variable Selection Methods for Grouped Data

Lilly, Kristin (2015-07-23)

When predictor variables possess an underlying grouping structure in multiple regression, selecting important groups of variables is an essential component of building a meaningful regression model. Some methods exist to ...

A Robust Version of Hotelling's T2 Control Chart for Retrospective Location Analysis of Individuals Using BACON Estimators

Bell, Richard (2012-02-13)

Hotelling's T2 chart is commonly used for Phase I analysis of individual multivariate normally distributed data. However, the presence of only a few outliers can significantly distort classical estimates of location and ...

Single Index Model for Tensor Data: Theory and Application

Wang, Rui (2021-09-09)

Modern scientific applications are frequently producing data sets where the data are not in the form of vectors but instead higher order tensors. For instance, multi-channel MEG signals in biomedical engineering, gene ...

Southern-Pine Silvopasture Systems: Forage Characteristics, Soil Quality, and Landscape Utilization by Cattle

Karki, Uma (2008-12-15)

Silvopasture is considered a more attractive land management option for diversified economic returns and environmental quality compared to open-pasture (pasture without trees) monocultures. However, little is known about ...