Browsing by Title
Now showing items 7372-7391 of 9103
Robust Bayesian Methods for Semi-parametric Models
(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
(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 Gain-Scheduled Observer Design with Application to Vehicle State Estimation
(2014-10-10)
This dissertation develops an application of the state-of-the-art convex optimization algorithms to the vehicle state estimation problem. The main challenge in this field is that the time-varying uncertain parameters and ...
Robust Group Variable Selection Methods for Multiple Functional Regression Model
(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
(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
(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
(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
(2008-08-15)
Partial Least Squares (PLS) is a class of methods for modeling relations between sets of observed variables ...
Robust Rank-based Metric for Evaluating Text Summarization
(2023-12-01)
Since information is growing exponentially, it is more important than ever to find effective ways to summarize text in the information age we live in. Automated text summarization systems are designed to make this process ...
Robust Simultaneous Inference for Functional Data
(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 ...
A Robust Software Radio Testset for Research and Laboratory Instruction
(2005-12-15)
Since the mid-1990s, communication technology has advanced dramatically, making it possible to achieve high data rates for both enterprise and individual users. The rapid and widespread deployment of wireless communications ...
Robust Solutions for Enabling Trust in Digital Circuits
(2022-07-31)
The continuous emergence of counterfeit integrated circuits (ICs) in the electronics supply chain requires immediate solutions since they pose serious threats to our critical infrastructures due to their inferior quality. ...
Robust Statistical Methods for the Functional Logistic Model
(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
(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
(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 ...
The Role and Reputation of Government Research Organizations in State Policymaking
(2023-11-17)
This research explores the role and reputation of state-level nonprofit policy research organizations, which are members of the Government Research Association (GRA). The research traces the development of municipal research ...
Role of Adipocyte P2Y2 Receptor in Adipogenesis and Insulin Resistance
(2022-05-03)
Objective -- It has been known that obesity and type 2 diabetes are associated with inflammation and insulin resistance and that adipose tissue contributes to insulin sensitivity and glucose homeostasis. Also, it was ...
The Role of an Agency in Setting the Policy Agenda
(2012-05-09)
This paper examines the impact a government agency can have on setting the political agenda for the agency’s policy area. While most literature on the role of agencies in the policy process acknowledges that agencies play ...
Role of Arabidopsis Thaliana Calmodulin Isoforms in Tolerance to Abiotic Stress
(2008-08-15)
Calmodulin and Ca2+ have been implicated in adaptation of plants to changes in its environment. Arabidopsis thaliana (Arabidopsis) genome has nine genetic loci encoding calmodulin protein isoforms. We have used wild type ...
The role of atomic excited states in laboratory plasmas and a study in fine structure diagnostics for far infra-red astrophysical observations
(2016-12-09)
This dissertation has a focus on the role of atomic excited states in laboratory and astrophysical plasmas. The emphasis is on systems for which perturbation theory is not expected to produce accurate results. The work ...