Essays about: "relevance of statistics"
Showing result 1 - 5 of 38 essays containing the words relevance of statistics.
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1. The Economic Assimilation of Immigrants : A Study on the Economic Assimilation of Foreign-Born Immigrants Based on a Fixed Effects OLS Model and Panel Data of 28 OECD Countries Between 2004–2018
University essay from Uppsala universitet/Nationalekonomiska institutionenAbstract : For several decades, the subject of immigrants and the integration of them has been a highly debated subject, both in politics and research. As the number of immigrants only seems to increase, the relevance of economic assimilation does aswell. READ MORE
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2. Prediction of Stock Returns Using Accounting Data with a Machine Learning Approach
University essay from Göteborgs universitet/Graduate SchoolAbstract : The relationship between accounting data and stock price prediction has been a hot topic for over half a century. Researchers have been trying to identify the relationship and investigate how it may be useful when trying to improve prediction accuracy. READ MORE
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3. Avoiding Congestion in a Data-Centric Opportunistic Network
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In opportunistic networking, data delivery is achieved by replicating data when transmitted to nodes within communication reach. The process repeats on a hop by hop basis, forwarding the data closer to other communities that have an interest in the given data. READ MORE
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4. Characterization of Drug-Related Critical Incidents from Multiple Settings in the Critical Incident Reporting System North Rhine-Westphalia
University essay from Uppsala universitet/Institutionen för farmaciAbstract : Introduction: Incident reporting systems have been implemented in health care for over a decade and contain reports of critical incidents (CI). These must be analyzed in order to suggest, implement and evaluate solutions for minimizing the risk of future CIs to occur, thereby increasing patient safety. READ MORE
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5. Self-Supervised Learning: Land Classification of Satellite Imagery
University essay from Lunds universitet/Matematisk statistikAbstract : The rise of self-supervised learning has granted a deeper level of generalized machine learning capable of learning semantic representations without any use of labelling. With 700 satellites orbiting Earth and generating terabytes of unlabelled data daily, satellite imagery serves as a particularly enticing data set for self-supervised learning, containing rich information with many applicable domains,such as agriculture. READ MORE
