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.
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Showing 1 to 20 of 28 for “"mixed data"”.
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Recent Advances in Bayesian Copula Models for Mixed Data and Quantile Regression
… Bayesian approaches towards joint modeling of mixed data types and quantile regression. In the first part of this work, we advance methodological and theoretical properties of the Bayesian Gaussian copula, and deploy these models in a variety of applications. Copula models link arbitrary …
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Efficient Architectures for Retrieving Mixed Data with Rest Architecture Style and HTML5 Support
… images. But more recent services involve complex data structures including text, images, audio, and video. The task of optimizing data to provide delivery of these structures is a complex one, involving both theoretical and practical aspects. In this thesis work, I have considered two …
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Heterogeneous Decision-Making in Socio-Technical Systems Methodologies for Efficiency Measurement and Decision Analysis with Mixed Data
… theory with methodological innovations in Data Envelopment Analysis (DEA). Traditional DEA models, while robust in assessing relative efficiency across multiple inputs and outputs, implicitly assume homogeneity among decision-making units (DMUs) and precise, ratio-scaled data. These …
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Statistical Methods for In-session Hemodialysis Monitoring
… of the test lies in nature of the tested data. Instead of using Raman spectra as curves, we also consider a vector whose elements are peak intensities of biomarkers, meaning the data is regarded as mixed data and that a spectrum curve and a vector compose one observation. Our method tests …
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Estimation of Subspace Arrangements: Its Algebra and Statistics
… extant methods for modeling or clustering mixed data. Finally, we will show results of these methods applied to computer vision and image processing.
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Statistical Learning Methods for Challenges arised from Self-Reported Data
… advanced clustering methods and analyzing data arised from chronic pain (CP) studies, with a particular emphasis on the unique challenges posed by self-reported (SR) data. Latent class analysis (LCA) is explored in the early stages of this work to cluster patients, and the clusters are …
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Large Margin Random Forests On Mixed Type Data
… observations with a multi-view representation of mixed type of data is thus important. We propose a large margin random forests classification approach based on random forests proximity. Random forests accommodate mixed data types naturally. Large margin classifiers are obtained from the random …
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Some Recent Advances in Non- and Semiparametric Bayesian Modeling with Copulas, Mixtures, and Latent Variables
… non- and semiparametric Bayesian models for mixed continuous, ordered and unordered categorical data. These methods have a range of possible applications; the applications considered in this thesis are drawn primarily from the social sciences, where multivariate, heterogeneous datasets with …
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An Assessment of Decentralisation Effectiveness on Public Health Service Delivery in Rural Tanzania:A Case Study of Pangani and Urambo Local Government Authorities
… Approach to Address the Problem.The Study Used Mixed Data Collection Method and Technique, Analysis was Mainly Qualitative. The Study Established that; for the Past fifteen years decentralisation had decimal effects on Improving Public Health Service Delivery in Rural Tanzania.Institutional …
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Development of Web-Based Educational Modules for Testing VHDL Models of Digital Systems
… models, use of configurations for simulation of mixed abstraction and mixed data type models, testing techniques and WAVES was developed as a part of the current thesis. Finally a complete section on website design has been included which explains the design strategy adopted for developing the …
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The Socio-economic Impact Of The Squid Stock Volatility In The Eastern Cape Province Of South Africa
… and provincial economies are estimated using mixed data from existing survey and census statistics, and from qualitative interviews and questionnaires. The paper also describes the roles played by industry participants in the squid value chain. A key element in the debates surrounding the …
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Development of Web-Based Educational Modules for Developing VHDL Models of Digital Systems
… paper, allowing computers to manage the design database and automate the translation between various representations of the system. Although VHDL modeling can provide a bonanza of benefits, VHDL models must be used effectively to reduce overall development costs. Air Force acquisition specialist …
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Mississippian missionaries: bundling a Cahokian religious movement
… Over 50 years ago, scholars grappled with the mixed data from the Collins Complex. Most often mixed sites were explained using the blanket term “Mississippianization,” which is problematically situated within a cultural evolutionary framework and implies a conversion, but not necessarily a …
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The Natural Environment and local perceptions of poverty, well-being and justice in a Mexican fishing community. Gaps and bridges between local perceptions and national metrics
… 2016 and spring 2017. The research adopted a mixed data collection and analytical methods including Q-methodology and network analysis. A geographically systematic sampling approach was used to collected data through semi-structured interviews and purposive sampling for Q methodology. Research …
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The Beautiful and the Bullshit: Speaker and Listener Mental Representations Influence Bullshit Receptivity
… of bullshit in today’s society. Overall, the data were mixed. Participants instead provided strongly overlapping mental representations of both bullshitters and bullshittees, suggesting a phenomenon where those who chronically peddle bullshit also tend to believe it. Experiment 2 found …
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Examining Course Achievement in an Undergraduate Psychology Statistics Course Through the Lens of Machine Learning Techniques
… 40,000, this study subjected the collected data to a factor importance analysis to assess their impact on course grades. With the dataset containing mixed data types, including numerical and categorical variables, analyzing their relative importance posed a significant challenge. To address …
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Developing framework for the reconstruction of housing for the internally displaced people due to conflict
… survey and case study strategies as well as mixed data collection methods (questionnaires and semi-structured interviews) were adopted. This led to the collection of both quantitative and qualitative data. The questionnaire was distributed to the IDPs and housing construction professionals …
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Enhancing teachers' knowledge for using multiple representations in teaching chemistry in Nigerian senior secondary schools
… students in learning. The study employed a mixed method approach that included descriptive and interpretive methods. Forty senior secondary chemistry teachers completed a questionnaire to gather background data about difficulties of teaching chemistry effectively and their existing teaching …
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A Social Logic of Energy: A data science approach to understanding and modelling energy transitions of India’s urban poor
… and methods. Public national survey and census data is supplemented with primary data collection, which provides valuable quantitative and qualitative data on low-income urban households. Tree-based regression is used to investigate the influence of socio-economic and cultural factors within …
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User-centered intrusion detection using heterogeneous data
With the frequency and impact of data breaches raising, it has become essential for organizations to automate intrusion detection via machine learning solutions. This generally comes with numerous challenges, among others high class imbalance, changing target concepts and difficulties to conduct …
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