Essays about: "non-parametric methods"
Showing result 16 - 20 of 76 essays containing the words non-parametric methods.
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16. Statistical Credit Rating with Survival Regression & Gradient Boosting
University essay from KTH/Optimeringslära och systemteoriAbstract : This thesis concerns the application of statistical modelling of credit risk in corporate borrowers using historical loan data from the Swedish export credit agency Exportkreditnämnden (EKN). Survival Regression in general and the Cox Proportional Hazard (CoxPH) model in particular is presented as a framework applicable to corpoate default and better suited than classification for modeling the binary default outcome of risk exposure data with inconsistent exposure times. READ MORE
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17. Sedentary behaviour and physical activity during a 6-months multimodal lifestyle intervention in persons with mild stage of Alzheimer´s disease : Secondary analyses of existing data
University essay from Mälardalens högskola/Akademin för hälsa, vård och välfärdAbstract : Purpose: The objective was to study how sedentary behaviour (SB) and physical activity (PA)change during a 6-months multimodal lifestyle intervention including a Multimodal Lifestyle Intervention, a Multimodal Lifestyle and Medical food intervention and a control subgroup, for people with prodromal Alzheimer's disease (AD). Further, the aim was to explore the predictive value of outcome expectancies and self-efficacy beliefs on level of PA in the two intervention subgroups. READ MORE
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18. Ungrouping Income Distributions - The Italian Doxa Survey of 1948
University essay from Göteborgs universitet/Graduate SchoolAbstract : This paper investigates alternative statistical approaches to ungroup data in tabular form. After a theoretical discussion on the interpolation problem and on the features of ungrouping techniques, a non-parametric version of the algorithm of Shorrocks and Wan is introduced. READ MORE
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19. Early-Stage Prediction of Lithium-Ion Battery Cycle Life Using Gaussian Process Regression
University essay from KTH/Matematisk statistikAbstract : Data-driven prediction of battery health has gained increased attention over the past couple of years, in both academia and industry. Accurate early-stage predictions of battery performance would create new opportunities regarding production and use. READ MORE
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20. Traffic State Estimation for Signalized Intersections : A Combined Gaussian Process Bayesian Filter Approach
University essay from KTH/TransportplaneringAbstract : Traffic State Estimation (TSE) is a vital component in traffic control which requires an accurate viewof the current traffic situation. Since there is no full sensor coverage and the collected measurementsare inflicted with random noise, statistical estimation techniques are necessary to accomplish this. READ MORE