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.
Results
Showing 1 to 20 of 162 for “"statistical tools"”.
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Statistical Tools for Linking Engine-Generated Malware to Its Engine
… may be viewed as filtering (or decision support) tools that malware detectors may use to determine whether extensive engine-specific program analyses such as emulation and control flow analysis are needed on a suspect program.</p>
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Application of genetic and statistical tools for improvement of Louisiana rice
Breeding for grain quality traits and resistance to sheath blight (SB), a disease caused by Rhizoctonia solani Kuhn, are important objectives for the rice (Oryza sativa L.) industry. Grain quality traits and SB resistance play an important role in the economic prosperity of commercial rice markets. …
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Applications of Linear Regression and Other Statistical Tools in the Study of Alcohol Sales
… regression. The results of this study show a statistically significant positive relationship between alcohol sales and the variables of unemployment rate, personal consumption expenditures, and high school graduation rate.
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Methods for the Analysis of Developmental Respiration Patterns.
… points of view and adapts mathematical and statistical tools in order to analyze the data gathered. The biological motivation and current state of research is given as well as instrumental considerations and problems in the measurement of carbon dioxide production. A wide set of mathematical …
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Competition and Growth of Corn (Zea Mays, L.) as Functions of Population Density, Row Width, and Time (Analysis, Model, Richards)
… competition, and (2) presents the mathematical/statistical tools necessary to estimate intensity of competition as a function of population density, row width and time. The difference between the growth rate of a plant in a given plant arrangement and the growth rate of a plant in isolation is a …
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Generalization of kernel machine methods for association testing of multi-omics data
… in humans. Despite the immense success of these statistical tools, post-GWAS, we are often left underwhelmed by findings that are difficult to interpret or fail to to lead to causal mechanisms and deeper understanding of trait etiology. Studies utilizing omics, including transcriptomics, …
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A flexible and versatile framework for statistical design and analysis of quantitative mass spectrometry-based proteomic experiments
… the MS measurements and of the signal processing tools dramatically increased. However, many existing statistical tools and workflows have not followed the technological development. Therefore, there is a need for flexible statistical tools, which reflect diverse and complex workflows, are …
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A Method for Analyzing Community Dynamics in Temporal Networks Applied to Emotional Recollection in fMRI Data
… static networks. However, there is a scarcity of statistical tools designed to quantify and compare dynamic community organization in temporal networks. In this study, we introduce a measure tailored for this purpose. We use this measure to discriminate between functional brain networks in which …
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Statistical Analysis of Gene Expression Profile: Transcription Network Inference and Sample Classification
… of this research is to provide improved and new statistical tools for analyzing transcriptomes data to identify gene expression patterns for classifying samples, to discover regulatory gene networks using natural genetic perturbations, to develop statistical methods for model fitting and …
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Statistical modelling of environmental trends over both time and space
… data represents an opportunity to use statistical tools to provide a better understanding of changes over time and space, making it easier to tackle problems such as pollution, water quality or climate change. The analysis of environmental data requires methodologies that allow us to fit …
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Compositional observations and their role in regression
… nature of compositions and how to use standard statistical tools with them. This dissertation describes the simplex and several functions which can be performed in it, as well as introducing several useful covariate structures for compositional samples after transformation. It also introduces …
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Weibull mixture model for grouped data and pattern identification in spatial and spatial-temporal data.
… engineering, and material science, we develop statistical models and apply statistical tools for characterizing patterns that exist in different types of data. In the first project, we propose the Weibull mixture model to fit the distribution of grain size in continental sediments in geological …
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Perceptions of Sexual Activity from Staff and Youth in a State Juvenile Facility
… injuries, serious injuries, or death. Using statistical tools and tests such as frequency distributions, Cronbach’s alpha reliability test, and Chi-Square to test for significance, this study found a significant difference in the perceptions of juveniles and staff.
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Seismic site characterization via joint modeling of horizontal-to-vertical spectral ratios and surface wave dispersion : developing and validating a geophysical tool for deciphering Quaternary stratigraphic architecture of the Monahans dune field, West Texas.
… the interpretation of geologic structure and use statistical tools, including posterior probability distributions and parameter correlations, to demonstrate that joint modeling has the potential to impose stronger constraints on model parameters than modeling either seismic dataset alone.
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Shipping : is it a high risk low return business?
… the amount of risk the investor is bearing. Statistical tools are used to quantify risk and the average returns of the shipping industry are measured and compared with other asset classes. Diversification among different types of ships, and different asset classes is used to maximize the …
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Interactive tools for fantasy football analytics and predictions using machine learning
… fantasy football analytics. Most existing statistical tools for the NFL are limited to the use of macro-level data; this research looks to explore statistics at a finer granularity. We explore various machine learning techniques to develop predictive models for different player positions …
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A machine learning solution to a marketing problem
… along with a way of solving it with the help of statistical tools. Precisely, a Recommender System is built to address a marketing problem for a supermarket in Germany. Both the the- oretical and the practical aspects of the use of Machine Learning methods are underlined. Our focus is oriented in …
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Beran Estimation of the Fisher-Bingham and Curved Kent Distributions
… hyper-sphere S^(p-1). Techniques for developing statistical tools to analyze directional data have a long and established history. Due to this interest in directional statistics, several probability distributions have been developed for data over S^(p-1). A general exponential model which …
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Developing a General Method for Analyzing Psychomotor Vigilance Task (PVT) Data: Modeling Sleep Inertia in Children
… system-specific model, and from it derive the statistical tools necessary to conduct the desired data analysis. In this thesis, we propose a method to model Psychomotor Vigilance Task (PVT) data which is a test to measure alertness and is commonly used in psychology. In particular, we focus on …
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Budgetary Redistributive Instruments and Electoral Support
… monetary and political transfers. Using statistical tools, the dissertation examines the budgetary bias itself, the timing of its usage across the electoral cycle, and the substitutability of the instruments. The results found that political parties do bias budgetary funds towards their …
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