Browsing by Author "Abebe, Asheber"

Now showing items 21-40 of 43

Leverage Sampling for Single-Index Models

Almutairi, Basmah (2021-01-04) ETD File Embargoed

In this thesis, a generalized leverage-based sub-sampling method for single-index models is proposed. The approach gives more efficient estimators than random sub-samples of the same size. Also, robust rank-based estimators ...

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 ...

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 ...

Nonparametric Methods for Classification and Related Feature Selection Procedures

Yin, Shuxin (2011-07-18)

One important application of gene expression microarray data is classification of samples into categories, such as types of tumor. Gene selection procedures become crucial since gene expression data from DNA microarrays ...

Nonparametric Rank Based Inferences for Generalized Linear Models, Longitudinal Data Analysis, and Variable Selection

Miakonkana, Guy-vanie (2013-07-10)

Many relevant data sets from environmental sciences,biomedical sciences, finance, insurance, engineering, and many other disciplines have high-dimensionality, difficult to model dependence structure, outliers, and heavy ...

Prediction of Distribution for Total Height and Crown Ratio Using Normal Versus Other Distributions

Acharya, Tanka (2006-12-15)

Relative to the other southern pine species, many aspects of longleaf pine (Pinus palustris Mill.) growth are poorly understood due to the lack of detailed studies and modeling efforts. With changes occurring in the ecosystem ...

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 Repeated Measurement Data

Gong, Yankun (2011-05-16)

This dissertation considers rank based methods for one sample and two sample repeated measurement data. As a specific example, in Chapter 2, this dissertation considers nonparametric tests for selective predation. ...

Rank-Based Estimation for Generalized Additive Models

Correia, Hannah Elizabeth (2016-07-08)

This thesis focuses on the improvement of generalized additive models (GAMs) using rank estimators. We introduce estimation of the smoothing functions in GAMs via backfitting in a local scoring algorithm using maximization ...

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 ...

Rank-Based Regression for Nonlinear and Missing Response Models

Bindele, Huybrechts Frazier Achard (2012-07-09)

This dissertation is mainly concerned with the rank-based estimation of model parameters in complex regression models: a general nonlinear regression model and a semi-parametric regression model with missing responses. For ...

Robust Bayesian Methods for Semi-parametric Models

Huang, Wei (2020-07-21)

Nonparametric rank-based approaches in many situations provide more flexible modeling speci cations and robustness when the distribution of data diff ers from the assumed distribution. This dissertation is mainly concerned ...

Robust Estimation and Selection for Semi-Varying Coefficient Models

Uzochukwu, Mark (2022-07-28)

Varying coefficient models have gained popularity in recent years due to their exibility in modeling more realistic problems. On the other hand, parametric models provide better interpretability. Model selection can ...

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 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 ...

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 ...

Semiparametric Estimation for Integral Projection Models

Kim, Kyoung Ju (2020-07-21)

Understanding the connection between variation in climate and population dynamics of plants and animals is important for predicting the impacts of future climate change. A popular approach for studying population dynamics ...

A Spatial Econometric Analysis of the Effects of Subsidized Housing and Urban Sprawl on Property Values

Naanwaab, Cephas (2011-05-04)

Property owners often resist the idea of siting public or subsidized housing in their neighborhood. The notion that subsidized housing exerts a negative externality effect on adjacent properties has been investigated ...