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 176 for “"GLM"”.
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Some aspects of fitting multinomial models in a GLM framework
This thesis discusses how an iteratively re - weighted least squares algorithm can be used to fit a multinomial regression model, with logit link function or own link functions, with any number of explanatory variables. The responses of each individual can be aggregated and the data can then be …
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Prospects of the Good Lives Model: An Exploration of its Applicability in Guiding Therapeutic Recreation Services in Forensic Psychiatry
… potential applicability of the Good Lives Model (GLM) as a guiding framework for therapeutic recreation (TR) practice within forensic psychiatry settings. Eight recreation therapists currently working in one of Ontario, Canada’s ten forensic psychiatry programs, with more than one year of …
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HEAD MOTION EVALUATION AND CORRECTION IN MAGNETOENCEPHALOGRAPHY
… Separation (SSS) and General Linear Modeling (GLM) for correction of translational motion. SSS and GLM were evaluated and compared by five assessment criteria: Percent Root Difference (PRD), Pearson Product-Moment Correlation Coefficient (CC), Signal-to-Noise Ratio (SNR), localization accuracy …
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A Positive Psychology Perspective on Chinese EFL Students’ Well-Being, Language Mindset, and English Performance
… well-being levels, growth language mindset (GLM), and English learning performance (i.e., College English Test [CET 4] scores); and compare specific differences in well-being levels, language growth mindset, and English performance (i.e., CET 4 scores) in demographic aspects (i.e., gender, …
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Manpower planning and cycle-time reduction of a labor-intensive assembly line
The demand for Gas Lift Mandrels(GLM) in the oil and gas industry is expected to increase over the next few years, requiring Schlumberger's GLM assembly line to increase their manufacturing capacity. Given the labor-intensive nature of Schlumberger's GLM assembly line, other than implementing …
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Enhancing General Language Models for Biomedical Test Retrieval via Diversified Prior Knowledge
… Knowledge Enhanced General Language Model (DPK-GLM) to improve the efficacy of general language models in biomedical Information Retrieval (IR). General language models often struggle with biomedical data due to its specialized terminology and the need for precise matching. DPK-GLM tackles these …
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Translocación Bacteriana en trauma abdominal e infección posoperatoria
… como los ganglios linfáticos mesentéricos (GLMs) y a otros órganos internos. Hasta el momento no ha sido demostrada la asociación de infección posoperatoria y TB en pacientes con trauma. Métodos: Para detectar la TB se extrajeron y cultivaron GLMs de 36 pacientes llevados a laparotomía por …
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Semiparametric Methods for the Generalized Linear Model
The generalized linear model (GLM) is a popular model in many research areas. In the GLM, each outcome of the dependent variable is assumed to be generated from a particular distribution function in the exponential family. The mean of the distribution depends on the independent variables. The link …
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A descriptive study of IgG subclasses and allotypes in children with pulmonary tuberculosis in the Western Cape
… IgG subclasses, total IgG,and five allotypes: Glm(a), Glm(f), G2m(n), G3m(bl), G3m(gl) were determined by ELISA techniques. In the Mixed ancestry group the Glm(f) (p= 0.01), G2m(n) (p= 0.04) and G3m(gl) (p=0.001) allotypes were less frequently found in children with proven PTB. In the Black …
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Understanding Scaled Prediction Variance Using Graphical Methods for Model Robustness, Measurement Error and Generalized Linear Models for Response Surface Designs
… design properties for generalized linear models (GLM). This dissertation presents a graphical method for examining design robustness related to the SPV values using FDS plots by comparing designs across a number of potential models in a pre-specified model space. Scaling the FDS curves by the …
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Approximate Message Passing for Matrix Regression
… AMP algorithms for generalized linear models (GLM) typically require the signal to be in the form of a vector, and the design matrix to have independent and identically distributed Gaussian entries. In this thesis, we explore estimation problems where previous assumptions of AMP algorithms are …
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Spatial and temporal population dynamics of yellow perch (Perca flavescens) in Lake Erie
… index needed. Generalized linear models (GLM), spatial generalized linear models (s-GLM), and generalized additive models (GAM) were compared by examining the goodness-of-fit, reduction of spatial autocorrelation, and prediction errors from cross-validation. The relationship between yellow …
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Predicting Spatial Variability of Soil Organic Carbon in Delmarva Bays
… models were examined: Generalized Linear Mondel (GLM) ridge, GLM LASSO, Generalized Additive Model (GAM) non-penalized, GAM cubic splice, and partial least-squares regression. Carbon stocks varied widely, 50 to 219 Mg/ha, with the average around 93 Mg/ha. Topography shared a weak relationship to …
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Fixed versus Mixed Parameterization in Logistic Regression Models: Application to Meta-Analysis
Three methods: fixed intercept generalized model (GLM), random intercept generalized mixed model (GLMM), and conditional logistic regression (clogit) are compared in a meta-analysis of 43 studies assessing the effect of diet on cancer incidence in rats. We also perform simulation studies to assess …
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Bayesian and geostatistical analysis of the effect of air pollution on asthma hospitalisation in Perth
… were incorporated in a Generalised Linear Model (GLM), where the risk of asthma hospitalisation was regressed against the air pollution concentration estimate. The results of GLM analysis showed that the influence of air pollutant on asthma hospitalisation risk varied over time and space. The …
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An assessment of factors influencing territory size and the use of hunter surveys for monitoring wolves in Montana
… kernels, created generalized linear models (GLM) representing combinations of ecological factors hypothesized to effect territory size, and evaluated the predictive power of the top GLM using a jack-knife approach. I estimated 82 (SE = 31; Nmin = 82), 124 (SE = 28; Nmin = 102), and 145 (SE = …
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An assessment of factors influencing territory size and the use of hunter surveys for monitoring wolves in Montana
… kernels, created generalized linear models (GLM) representing combinations of ecological factors hypothesized to effect territory size, and evaluated the predictive power of the top GLM using a jack-knife approach. I estimated 82 (SE = 31; Nmin = 82), 124 (SE = 28; Nmin = 102), and 145 (SE = …
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Sparse functional regression models: minimax rates and contamination
… the sparse functional generalized linear models (GLM), where the impact of the predictor process on the response is only via its value at one point in the index space, defined as the sensitive point. We are particularly interested in estimating the sensitive point. The minimax rate of convergence …
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Molecular characterization of rodent- and-shrew-borne viruses and the prevalence and intensity of infestation of small mammal fleas, in Namibia
… Mastomys natalensis. A generalised linear model (GLM) was used to analyse the significant influence that different factors would present on the prevalence and intensity of flea infestation in three (Hardap, Khomas and Okavango, of the six regions. Factors tested for included host sex, body mass, …
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On the Efficiency of Designs for Linear Models in Non-regular Regions and the Use of Standard Desings for Generalized Linear Models
… in the case of generalized linear models (GLM). The Fraction of Design Space (FDS) technique is proposed as a new graphical evaluation technique that addresses good prediction. The new technique is comprised of two tools that give the researcher more detailed information by quantifying the …
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