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 20 for “"Grouped Data"”.
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Deep learning for grouped data
… applying deep learning algorithms to groups of data. My claim is that groups should be represented as random variables whose values should be inferred from data. This approach has the potential to unlock solutions in many important domains of machine learning, including disentangling the …
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Kolmogorov-Smirnov test for grouped data
Herein is presented a Kolmogorov-Smirnov test for grouped samples. It constitutes an application of W. J. Conover's procedure, which was originally designed for calculating exact critical levels for test with discrete distributions. This test extends the goodness-of-fit test to samples which are …
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Weibull mixture model for grouped data and pattern identification in spatial and spatial-temporal data.
… 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 studies. We use an EM algorithm to fit the model and a bootstrap likelihood ratio test (LRT) to compare …
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Parameter Estimation for Normally Distributed Grouped Data and Clustering Single-Cell RNA Sequencing Data via the Expectation-Maximization Algorithm
… estimates in problems involving missing data or latent variables. The EM algorithm can be applied to problems consisting of evidently incomplete data or missingness situations, such as truncated distributions, censored or grouped observations, and also to problems in which the missingness …
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Application of regression techniques to highway systems safety
… variable techniques as well as the analysis of grouped data, and comments were provided on the use of each technique. The equations were useful in providing information about the roadway/environment to the analyst or decision maker in relationship to highway safety.
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Environmental education at Kwantlen Polytechnic University: Hidden curriculum, informal learning of Pro-environmental Values
… on campus, and potential improvements. I grouped data from interviews into themes and also incorporated the lens of environmental worldviews into my analysis of the results. Consequent recommendations to KPU and post-secondary counterparts include environmental communications incorporating …
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A case study of group home development for persons with mental retardation: entry approaches and neighborhood opposition
… the state of North Carolina have been presented. Grouped data have also been reported in the attempt to investigate the efficacy of entry approaches the literature is currently advocating.
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Advances in Survival Analysis: Accurate Partial Likelihood Computation by Poisson-Binomial Distributions and Nonparametric Competing Risk Cox Model
… existing Cox model theory largely overlooks tied data. In contrast, our approach accommodates both grouped data with ties and continuous data without ties, offering a unified theoretical framework for accurate partial likelihood computation regardless of data type. Simulations and real data …
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The assessment of the impact of desegregated schooling on young children, utilizing their drawings
… the pilot study, namely the Peer Group Drawing. Data analysis involved each drawing being analysed separately according to the analysis systems of Klepsch and Logie (1982), and Koppitz (1968), and further informed by Burns (1982) and Furth (1988). Within subject comparisons were undertaken which …
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Some applications of generalised linear models
… of such models include the analysis of grouped and multivariate data. It is shown that grouped data arising from a truncated or mixture distribution can be represented as a parametric composite link function and the technique applied to extend the analysis of some previously published …
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The human factors of computer input using a mouse device
… which permitted the recording of movement data which by means of automated analysis yielded the device movements made. Input system gain, an important task parameter, has been poorly defined and misconceptualized in most previous studies. The issue of gain has been clarified and …
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Investigating the principals’ leadership roles on influencing teaching and learning at secondary schools in Ohangwena region, Namibia
… were distributed to teachers to complete. The data were analysed using information from scribes’ notes where themes were compared and integrated across the major themes that emerged from the data analysis across all grouped. Data from the interviews were analysed in descriptive method and …
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Network Dynamics of Visual Naming
… of nouns and verbs. Employing novel methods for grouped data analysis, we found that initial processing concurrently activated ventral temporo-occipital cortex, which implies that this level of semantic processing occurs in parallel. However, we found significant differences, both in extent and …
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A case study of the implementation of inclusion as an instructional practice in an urban inner city school division impacting on regular and special education
… of Portsmouth, Virginia have been presented. Grouped data have also been reported in the attempt to investigate the efficacy of the impact of inclusion practices. None of the schools in the study were found to be "full inclusion” Schools. Pull-out special education classroom options continued …
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Multimodal treatment of women with mitral valve prolapse syndrome
… Strength and Magnitude of Interactive Efficacy.Data was analyzed in a two-step process. First, it was analyzed using a multiple single case design format. This was followed by a quantitative analysis of grouped data. In general, the multiple single case design complemented the quantitative …
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Comparative analysis of transcriptome of fracture healing under normal and hypophosphatemic conditions
… compared the quantitative transcriptomic data with temporally grouped data to understand gene expression dynamics during fracture healing under phosphate restriction conditions. Three distinct temporal groups were identified, each exhibiting unique expression patterns. Group 1 which …
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Modern Methods in Semiparametric Statistics
… classical counterparts when deployed on modern datasets. Such principles underpin the success of many modern machine learning methods. It is therefore of interest to look beyond parametric models. Semiparametric models, defined in terms of infinite dimensional parameters, provides extra …
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A historical perspective on wind data: time, space and vector relationships between ship log data and Cape Royal Astronomical Observatory wind data between 1834 and 1854
This dissertation assesses the extent to which data from the Climatological Database for the World's Oceans (CLIWOC) reflect newly digitized historical wind data captured at the Royal Astronomical Observatory (RAO) in Cape Town, South Africa from 1834-1854. This follows the historical precipitation …