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Comments on the residual bilinearization method
11
Citations
16
References
1993
Year
Numerical AnalysisDeblurringEngineeringMeasurementCalibrationBiostatisticsInverse ProblemsImage RestorationDeconvolutionResidual Bilinearization MethodInstrumentationNet Analyte RankPublic HealthApproximation TheorySignal ProcessingMultivariate CalibrationComputer SimulationResidual Bilinearization
Abstract Through theoretical analysis and computer simulation, this short communication comments on the residual bilinearization (RBL) method and compares it with non‐bilinear rank annihilation (NBRA) for the treatment of second‐order calibration with non‐bilinear data. It is found that these two methods are mathematically equivalent but have different noise propagation properties. The second‐order advantage, namely quantitation in the presence of unknown interferences, can be carried over to non‐bilinear data only if there exists a net analyte rank (NAR) for the analyte of interest.
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