917 resultados para Natural Resource Exports
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"PUB-FR-159 2001"--Cover.
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no. 24. On the report of the Special Committee on Water-power Development. Feb.1,1918. -- no. 33. On the report of the Committee on Public Utilities regarding local transportation. Nov.19,1920. -- no. 43. On the report of the Special Committee on Transportation. -- no. 44. On the report of the Committee on Postal Service. Jan.7,1925. -- no. 45. On Advisory Committee's report: powers of national banks. Apr.20,1925. -- no. 46. On Advisory Committee's report: inheritance taxes, coordination of national and state taxation. Apr.20,1925. -- no. 47. On legislation regarding resale prices. --no. 48. On Advisory Committee's report on the merchant marine. Mar.12,1926. -- no. 50. On the report of the Committee on Federal Taxation. Oct.7,1927. -- no. 51. On the report of the Committee on Mississippi Flood Control. Oct.31,1927. -- no. 52. On the report of the Special Committee on Agriculture. Aug.31,1928. -- no. 53. On the report of the Special Committee on Highways and Motor Transport respecting state and local road administration. Jan.9,1929. -- no. 57. On the report of the special report of the Special Committee on National Water-power Policies. Nov.7,1930. -- no. 59. On the report of the Department Committee on Natural Resource Industries. Oct.31,1931.
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Cover title.
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"A Partnership program for voluntary pollution prevention; USDA Natural Resource Conservation Service; USDA Cooperative State Research, Education and Extension Service; US Environmental Protection Agency."--P. 1.
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"January 1990."
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U.S. Geological Survey, Department of Interior Cooperative Agreement No. 14-48-0003-95-1090
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Includes bibliographical references.
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Item 16
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Bibliographical footnotes.
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Thesis (Ph.D.)--University of Washington, 2016-06
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Thesis (Master's)--University of Washington, 2016-06
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Thesis (Master's)--University of Washington, 2016-06
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Thesis (Master's)--University of Washington, 2016-06
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Thesis (Master's)--University of Washington, 2016-06
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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).