Multivariate calibration with single-index signal regression
نویسندگان
چکیده
Article history: In general, linearity is assum Received 16 November 2008 Received in revised form 20 January 2009 Accepted 3 February 2009 Available online 12 February 2009
منابع مشابه
Multidimensional Single-Index Signal Regression
In general, linearity is assumed to hold in multivariate calibration (MVC), but this may not be true. We approach the MVC problem using multidimensional penalized signal regression, which can be extended with an explicit link function between linear prediction and response and in the spirit of single-index models. As the twodimensional surface of calibration coefficients is smoothly and general...
متن کاملSimultaneous spectrophotometric determination of ampicillin and penicillin in human plasma using multivariate calibration
An analytical methodology based on spectrophotometric and partial least squares (PLS) algorithm for thesimultaneous determination of ampicillin and penicillin in human plasma was developed and validated. Themultivariate model was developed as a binary calibration model and it was built and validated with anindependent set of synthesis and real samples in presence of matrix. It is shown how a de...
متن کاملSimultaneous spectrophotometric determination of lidocaine and hydrocortisone acetate in pharmaceutical preparations by multivariate calibration methods
The multivariate calibration method, partial least square regression (PLS) was applied for thesimultaneous spectrophotometric determination of Lidocaine (LID) and Hydrocortisone acetate(HCA) in their mixtures. The parameters of chemometric technique were optimized and theproposed method was validated with synthetic samples and applied to analyze these drugs inpharmaceutical products with good a...
متن کاملHazards of Digital Smoothing Filters as a Preprocessing Tool in Multivariate Calibration
The efficacy of smoothing first-order data as a preprocessing method for multivariate calibration is discussed. In particular, the use of symmetric smoothing filters (such as Savitzky–Golay filters) is examined from the perspective of calibration performance, in contrast with past studies based on univariate signal-to-noise improvement. It is shown mathematically that in the limit of a perfect ...
متن کاملMultivariate Calibration Stability: a Comparison of Methods
In the multivariate calibration framework we revisit and investigate the prediction performance of three high-dimensional modeling strategies: partial least squares, principal component regression and P-spline signal regression. Specifically we are interested in comparing the stability and robustness of prediction under differing conditions, e.g. training the model under one temperature and usi...
متن کامل