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Browsing Auburn Theses and Dissertations by Author "Zeng, Peng"
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Biology of Blaptica dubia (Blattodea: Blaberidae)
Wu, Hao (2013-07-15)
The Dubia Cockroach, Blaptica dubia Serville, has become a popular food choice among amphibian and reptile enthusiasts. However, there has been little scientific research conducted on this species. My research consists of ...
Classification Using A Functional Partial Least Squares Logistic Regression Method
McAtee, Aaron (2016-04-12)
Statistical analysis of functional data has been explored extensively over the last decade
and functional partial least squares regression has emerged as a popular choice for classification problems. In partial least ...
Deep Learning, Neural Networks and Aerospace Applications
Liting, Zhou (2018-11-15)
The ability to rack an enemy missile while in-flight, whether to accurately predict the point of impact (POI), the point of origin (POO) or to destroy the missile in-flight, is greatly enhanced if the missile type and/or ...
Effect of Torrefaction on Biomass Structure and Product Distribution from Fast Pyrolysis
Neupane, Sneha (2015-01-13)
Torrefaction, a thermal pretreatment process, has been documented to improve the chemical composition of bio-oil produced from fast pyrolysis process. During torrefaction pretreatment, the major constituents of biomass ...
Efficient and Robust Classification for Positive Definite Matrices with Wasserstein Metric
Cui, Jian (2021-04-16)
Riemannian geometry methods are widely used to classify SPD (Symmetric Positives-Definite) matrices, such as covariances matrices of brain-computer interfaces. Common Riemannian geometry classification methods are based ...
Essays in international trade and energy economics
Ozturk, Ozcan (2017-07-27)
This Dissertation consists of three empirical essays in international trade and energy economics.
Chapter 1 examines whether the food market of Turkey is cointegrated with the world food market. Using an error correction ...
Estimating Cell-Type Profiles and Cell-Type Proportions in Heterogeneous Gene Expression Data
Pritchard, David A. (2012-05-16)
Understanding the mechanisms underlying natural variation in gene expression is an important question in medical and evolutionary genetics. Many studies intend to compare either (i) cell-type expression profiles across ...
Evaluation of soybean meal from selected cultivars of soybeans for use in practical diets for L. vannamei
Fang, Xiaoyun (2013-11-08)
This study was designed to evaluate the efficacy of twelve sources of soybean meal (SBM), which included new soy varieties in practical feed formulation for Pacific white shrimp, Litopenaeus vannamei, using both digestibility ...
Generalized LASSO Problem with Equality and Inequality Constraints Using ADMM
Xu, Chi (2019-12-05)
With the development of technology, the volume of the data has gradually become much larger and attracting much more attention in data science. Statisticians nowadays need to consider the case when the dataset is extremely ...
Generalized Signed-Rank Estimation for Certain Complex Regression Models
Nguelifack, Brice Merlin (2015-05-07)
This dissertation is mainly concerned with the Generalized signed-rank estimation of model parameters in complex regression models, specially nonlinear models with multidimensional indices and two-phase linear models. First ...
Genuine Sequential Estimation Procedures for Gamma Populations using Exact Evaluation Criteria
Tolliver, Kevin (2009-12-09)
In this dissertation, we develop genuine two-stage sequential procedures for bounded-risk and fixed-width confidence interval estimation for Gamma distributed populations, based on exact evaluation criteria. The term ...
Legislated Incentives and Expectations
Doran, Thomas (2013-04-23)
The United States Congress passes several pieces of legislation with the intent to improve the overall livelihood of Americans and assist other nations toward economic development. This collection of essays identifies ...
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 ...
Quality Evaluation of Live Eastern Oyster (Crassostrea virginica) based on Textural Profiling Analysis, Free Amino Acids Analysis, and Consumer Sensory Evaluation
Wang, Jue (2015-07-31)
The consumption of live eastern oyster (Crassostrea virginica) has become an important part of the diet for consumers in the United States. Because large amounts of oysters are grown every year, it is necessary for oyster ...
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 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 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 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 ...
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 ...