00000nam 2200000zi 4500 9.946439 CaOODSP 20250327154032 m o d f cr mn||||||||| 241224t20252025oncd obs f000 0 eng d 9780660750767 CaOODSP eng rda CaOODSP n-cn--- CS16-001/2025-2E-PDF Taki, Rezvan, author. Statistical approaches for estimating industrial water intake in Canada / by Rezvan Taki and Beni Ngabo Nsengiyaremye. [Ottawa] : Statistics Canada = Statistique Canada, March 27, 2025. ©2025 1 online resource (14 pages) : graphs. text txt rdacontent computer c rdamedia online resource cr rdacarrier Environment accounts and statistics analytical and technical paper series, 1917-9693 Cover title. Issued also in French under title: Approches statistiques pour l'estimation des prélèvements d'eau industriels au Canada. Includes bibliographical references (page 14). "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. Industrial water supply Canada Statistics. Water-supply Canada Management. Statistics Canada, issuing body. Approches statistiques pour l'estimation des prélèvements d'eau industriels au Canada / (CaOODSP)9.946438 Environment accounts and statistics analytical and technical paper series. (CaOODSP)9.506705 PDF 445 KB https://publications.gc.ca/collections/collection_2025/statcan/16-001-m/16-001-m2025002-eng.pdf HTML N/A https://www150.statcan.gc.ca/n1/pub/16-001-m/16-001-m2025002-eng.htm 16-001-M