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| 001 | 9.946439 |
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| 003 | CaOODSP |
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| 005 | 20250327154032 |
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| 006 | m o d f |
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| 007 | cr mn||||||||| |
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| 008 | 241224t20252025oncd obs f000 0 eng d |
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| 020 | |a9780660750767 |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 043 | |an-cn--- |
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| 086 | 1 |aCS16-001/2025-2E-PDF |
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| 100 | 1 |aTaki, Rezvan, |eauthor. |
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| 245 | 10|aStatistical approaches for estimating industrial water intake in Canada / |bby Rezvan Taki and Beni Ngabo Nsengiyaremye. |
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| 264 | 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cMarch 27, 2025. |
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| 264 | 4|c©2025 |
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| 300 | |a1 online resource (14 pages) : |bgraphs. |
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| 336 | |atext|btxt|2rdacontent |
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| 337 | |acomputer|bc|2rdamedia |
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| 338 | |aonline resource|bcr|2rdacarrier |
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| 490 | 1 |aEnvironment accounts and statistics analytical and technical paper series, |x1917-9693 |
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| 500 | |aCover title. |
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| 500 | |aIssued also in French under title: Approches statistiques pour l'estimation des prélèvements d'eau industriels au Canada. |
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| 504 | |aIncludes bibliographical references (page 14). |
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| 520 | 3 |a"The reliable estimation of industrial water use is critical for establishing realistic water conservation goals in Canada’s manufacturing sector, mineral extraction industries and thermal-electric power generation sector. To evaluate the predictive accuracy of several statistical models at the national level, this study uses survey data to explore modelling techniques including the eXtreme Gradient Boosting (XGBoost) model, the Thin-Plate Spline (TPSPLINE) model, Multiple Imputation by Chained Equations (MICE), linear regression, partial least squares (PLS) regression, and least absolute shrinkage and selection operator (LASSO) regression"--Abstract, page 3. |
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| 650 | 0|aIndustrial water supply|zCanada|vStatistics. |
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| 650 | 0|aWater-supply|zCanada|xManagement. |
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| 710 | 2 |aStatistics Canada, |eissuing body. |
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| 775 | 08|tApproches statistiques pour l'estimation des prélèvements d'eau industriels au Canada / |w(CaOODSP)9.946438 |
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| 830 | #0|aEnvironment accounts and statistics analytical and technical paper series.|w(CaOODSP)9.506705 |
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| 856 | 40|qPDF|s445 KB|uhttps://publications.gc.ca/collections/collection_2025/statcan/16-001-m/16-001-m2025002-eng.pdf |
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| 856 | 4 |qHTML|sN/A|uhttps://www150.statcan.gc.ca/n1/pub/16-001-m/16-001-m2025002-eng.htm |
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| 986 | |a16-001-M |
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