Essays about: "GLM"
Showing result 11 - 15 of 49 essays containing the word GLM.
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11. Silage quality of grass and red clover-dominated forages as affected by particle size and additive, when ensiled at different dry-matter concentrations
University essay from SLU/Dept. of Animal Environment and HealthAbstract : Syftet med denna studie var att undersöka effekterna av partikelstorlek samt typ och dosering av kemiska tillsatser på ensilagekvalitet och lagringsstabilitet hos klöverdominerat ensilage och gräsensilage vid två torrsubstans (TS)-halter. Partikelstorlekarna var ca 24 cm för långt ensilage och ca 5 cm för hackat ensilage. READ MORE
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12. Combined Actuarial Neural Networks in Actuarial Rate Making
University essay from KTH/Matematisk statistikAbstract : Insurance is built on the principle that a group of people contributes to a common pool of money which will be used to cover the costs for individuals who suffer from the insured event. In a competitive market, an insurance company will only be profitable if their pricing reflects the covered risks as good as possible. READ MORE
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13. Technical Support and Self-Service Troubleshooting: An Insurance Approach
University essay from KTH/Matematik (Avd.)Abstract : Technical support and services are growing more and more competitive and have become a selling point for many companies. One way companies differentiate themselves is through extensive self-service solutions as a part of the support structure. However, the underlying cost drivers are not well understood. READ MORE
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14. Supervised Learning for Prediction of Tumour Mutational Burden
University essay from KTH/Matematisk statistikAbstract : Tumour Mutational Burden is a promising biomarker to predict response to immunotherapy. In this thesis, statistical methods of supervised learning were used to predict TMB: GLM, Decision Trees and SVM. READ MORE
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15. Subsampling Strategies for Bayesian Variable Selection and Model Averaging in GLM and BGNLM
University essay from Stockholms universitet/Statistiska institutionenAbstract : Bayesian Generalized Nonlinear Models (BGNLM) offer a flexible alternative to GLM while still providing better interpretability than machine learning techniques such as neural networks. In BGNLM, the methods of Bayesian Variable Selection and Model Averaging are applied in an extended GLM setting. READ MORE
