788 resultados para Assessment in Mathematics
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Federal Transit Administration, Washington, D.C.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Bibliography: p. 70-71.
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"An extension and revision of 'Summaries of current studies on improving school mathematics' prepared ... in November, 1958."
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Bibliography: p. [439]-450.
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Project no.80.144.
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Mode of access: Internet.
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Bibliography: p. 229-231.
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Mode of access: Internet.
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In 2013, the Government of Nicaragua approved the concession for a 173-mile canal to the Hong Kong Nicaragua Canal Development Investment Group. As the Western Hemisphere's second poorest nation, Nicaragua is attracted the promises of economic growth that may come as a result of the Canal Project. However, potential economic benefits may be offset by environmental and social damages that would likely occur as a result of the project. The Canal would bisect 16 watersheds, 15 protected areas, and 25 percent of Nicaragua’s rainforest, which would have high impacts on biodiversity, watershed services, and indigenous communities. In 1996, Law No. 217 was enacted to standardize the use and conservation of the environment and natural resources of Nicaragua. My research compares the Environmental and Social Impact Assessment of the Nicaragua Canal to the Environmental provisions of Law No. 217. This analysis can help understand the legal viability of the ESIA under Nicaragua environmental laws.
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Most of the modem developments with classification trees are aimed at improving their predictive capacity. This article considers a curiously neglected aspect of classification trees, namely the reliability of predictions that come from a given classification tree. In the sense that a node of a tree represents a point in the predictor space in the limit, the aim of this article is the development of localized assessment of the reliability of prediction rules. A classification tree may be used either to provide a probability forecast, where for each node the membership probabilities for each class constitutes the prediction, or a true classification where each new observation is predictively assigned to a unique class. Correspondingly, two types of reliability measure will be derived-namely, prediction reliability and classification reliability. We use bootstrapping methods as the main tool to construct these measures. We also provide a suite of graphical displays by which they may be easily appreciated. In addition to providing some estimate of the reliability of specific forecasts of each type, these measures can also be used to guide future data collection to improve the effectiveness of the tree model. The motivating example we give has a binary response, namely the presence or absence of a species of Eucalypt, Eucalyptus cloeziana, at a given sampling location in response to a suite of environmental covariates, (although the methods are not restricted to binary response data).