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 71 for “"Additive Model"”.
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Bayesian generalized additive model selection
Generalized additive models (GAMs) offer a parsimonious, flexible and interpretable framework for regression, particularly when handling a large numbers of candidate predictors. This thesis addresses the GAM variable selection problem: categorizing each candidate predictor's effect type to be …
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Shrinkage Estimation for Aalen's Additive Model
… event history). In particular, regression models that relate event occurrence rates to predictor variables are quite common in the medical field. One such regression model is the Aalen's nonparametric additive model in which the regression coefficients are assumed to be unspecified …
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Spatiotemporal Generalized Additive Model: Investigating Weather-Related Road Crashes in Southern Finland
… Many types of statistical and machine learning models seek to quantify the relationship between different meteorological parameters and accident risk. This thesis presents a spatiotemporal generalized additive model to explain which weather conditions increase the risk of a crash in the Finnish …
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A new hybrid model of dengue incidence rate using negative binomial generalised additive model and fuzzy C means model a case study in Selangor
… after clustered by district and Fuzzy C-Means Model (FCM). Thirdly, the development of models using the existing dataset and the new datasets which clustered by the two different clustering categories. Then, to assess the models developed by using three measurement methods which are deviance …
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Array methods in statistics with applications to the modelling and forecasting of mortality
… and show how these methods can be applied in additive models even when the data do not have a standard array structure. Finally we discuss the Lee-Carter model and show how we fulfilled the requirements of the CASE studentship. Our main contributions are: firstly we extend the array methods of …
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ΜΟΝΤΕΛΟΠΟΙΗΣΗ ΤΗΣ ΠΥΡΟΛΥΣΗΣ ΛΙΓΝΟΚΥΤΤΑΡΙΚΩΝ ΥΛΙΚΩΝ
… MATERIALS WAS STUDIED IN ORDER TO MODELIZE THE KINETICS OF BOTH PRIMARY AND SECONDARY REACTIONS AS ALSO TRANSPORT PHENOMENA. MODELLING WAS BASED ON EXPERIMENTAL DATA OBTAINED BY MEANS OF THERMAL ANALYSIS TECHNIQUES. THE MODEL OF INTERMEDIATE STEP COMPOSITION IS CORRELATED TOTHE …
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Scalable black-box model explainability through low-dimensional visualizations
… visual intuitive explanations for how black-box models work. The first is a projection pursuit-based method that seeks to provide data-point specific explanations. The second is a generalized additive model approach that seeks to explain the model on a more holistic level, enabling users to …
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Approaches for Handling Time-Varying Covariates in Survival Models
Survival models are used in analysing time-to-event data. This type of data is very common in medical research. The Cox proportional hazard model is commonly used in analysing time-to-event data. However, this model is based on the proportional hazard (PH) assumption. Violation of this assumption …
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An Alternative Method for Determining Adjusted Function Points as the Basis for Software Cost Estimating
… using a less restrictive multiplicative model instead of the existing additive model, for calculating the value adjustment factor. The proposed approach was implemented and evaluated using data from 301 software development projects. However, no improvement in model performance was …
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Component Processes in Impression Formation
An additive stage model of component processes in impression formation is proposed and three stages--stimulus encoding, stimulus integration and response selection--are examined. One hundred twenty eight subjects rated the likeableness of hypothetical stimulus persons described by adjective sets …
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Spatio-temporal data modeling with applications to weather and disease
… cases, it is beneficial to use spatio-temporal modeling to account for trends and the correlation of nearby observations. This thesis explores applications to spatio-temporal modeling. First, a method is developed to model the marginal distribution of spatial extreme values at a large scale …
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Corporatism and leftist governments: a LISREL analysis on their effects on the economic performance of selected advanced capitalist democracies
… will perform a LISREL analysis for two competing models: (1) an 'additive' model, where I compare the independent effects of corporatist arrangements and leftist parties on strike activity, unemployment rates, inflation rates, and GDP growth rates; and (2) a 'multiplicative' or conditional model, …
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Geopolitikos ritmu: ryšys tarp pasaulinių įvykių ir svarbiausių žaliavų kainų /
… (namely platinum) using a time series regression model. Understanding this relationship is crucial for policy makers, especially in the light of the recent EU and US legislation on critical raw materials. By quantifying the interactions between GPR and CRM, this study will help policy makers make …
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THE ASSOCIATIONS BETWEEN PATERNAL DEPRESSIVE SYMPTOMS AND CHILDREN’S BEHAVIOR OUTCOMES VIA INTIMATE PARTNER VIOLENCE AND PATERNAL REJECTION IN KENYAN FAMILIES
… Kenya participated in the study. Results of an additive model indicated that paternal depressive symptoms were associated with children’s internalizing and externalizing behavior problems above and beyond maternal risk factors. Paternal depressive symptoms were not associated with children’s …
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Fast and stable smoothing spline analysis of variance models for large samples with applications to electroencephalography data analysis
… smoothing spline analysis of variance (SSANOVA) model are computationally expensive, making a generalized additive model (GAM) the preferred method for multivariate smoothing. In this thesis, I propose various approximations and algorithms to stabilize and speed-up the fitting of two-way (or …
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Modelling the spatial distribution of three marine fish species in the southern Benguela
… trawl surveys, this study used Generalized Additive Model (GAM) and Krigging with External Drift (KED) statistical techniques to determine the spatial distribution of three marine fish species of commercial interest: Merluccius capensis, Merluccius paradoxus, and Thyrsites atun, on the West …
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Peatland burning identification among other wildfires across different ecozones in Canada
… U test, K-means clustering, and generalized additive model (GAM) to identify the contribution of peat presence to fire behaviors. Key findings demonstrate that fires on peatland are significantly more intense, longer-lasting, and associated with higher carbon emissions. Even though peat …
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Computational, statistical and graph-theoretical methods for disease mapping and cluster detection
… on time-series data, we introduce a generalized additive model that maintains constant specificity on various time scales.
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Complementarities in employment dispute resolution systems : bigger bang or just bigger bucks?
… I present and test two competing theoretical models to explain the benefits of dispute resolution systems over pairs and individual components. The first is an additive model, in which the more types of components that are available, the more types of disputes that can be managed. The second …
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