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Learn about analytical figures of merit and uncertainty propagation in multivariate and multiway calibration through a 34-minute lecture that explores the estimation of key analytical performance metrics. Delve into uncertainty propagation principles applied across univariate, linear, non-linear multivariate (first-order), and multi-way (second- and higher-order) data calibrations. Examine the concept of generalized analytical sensitivity as an alternative to conventional sensitivity for comparing method performance. Discover sample-dependent closed-form expressions for prediction uncertainty estimation, gaining valuable insights into modern analytical chemistry methodology and data analysis techniques.
