Essays about: "non-parametric methods"
Showing result 11 - 15 of 76 essays containing the words non-parametric methods.
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11. Clinical reasoning focused on clients’ behaviour change and treatment orientation in the transition from a physiotherapy student to a clinically working physiotherapist : A longitudinal study
University essay from Mälardalens universitet/Akademin för hälsa, vård och välfärdAbstract : Background: The present study evaluated physiotherapists' clinical reasoning focused on clients’ behaviour change and treatment orientation in the transition from university to work. It further investigated how self-efficacy, attitudes and contextual factors influence clinical reasoning and treatment orientation. READ MORE
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12. Risk measurement of cryptocurrencies using value at risk and expected shortfall
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : Cryptocurrencies are highly volatile and risky assets, therefore, it is of vital importance to find an appropriate model for risk measurement. This thesis compares three parametric and three non-parametric estimation methods to estimate the value at risk and the expected shortfall of five cryptocurrencies, namely Bitcoin (BTC), Ethereum (ETH), Binance coin (BNB), Ripple coin (XRP), and Cardano (ADA). READ MORE
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13. The Extended Maximum Likelihood Estimation for Monotone Probability Mass Function with Application using Forensic Data
University essay from Lunds universitet/Matematisk statistikAbstract : This paper presents solutions to the modelling of frequency data of species labels, but the data is incomplete in the sense that some rarely-occurring species labels give zero observed frequency. The data can be modelled by a monotone probability function with parameters to be estimated, and yet, due to the order constraints and the incomplete data, using conventional parameter estimation methods will cause trouble. READ MORE
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14. Modelling rare events using non-parametric machine learning classifiers - Under what circumstances are support vector machines preferable to conventional parametric classifiers?
University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistikAbstract : Rare event modelling is an important topic in quantitative social science research. However, despite the fact that traditional classifiers based upon general linear models (GLM) might lead to biased results, little attention in the social science community is devoted to methodological studies aimed at alleviating such bias, even fewer of them have considered the use of machine learning methods to tackle analytical problems imposed by rare events. READ MORE
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15. Classifying Heart Rate Variability Data using Multitaper Spectrum Analysis
University essay from Lunds universitet/Matematisk statistikAbstract : Heart rate variability (HRV) is the variation between two consecutive heartbeats. The irregular variability in this interval can indicate different health issues such as stress. The goal of this project is to correctly classify if a HRV signal comes from a resting state or a state which is affected by stress related stimuli. READ MORE
