Ridge regression optimization using a harmonious approach von Forrester, J. B., Kalivas, J. H.

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Selectivity and Related Measures for nth-Order Data von Messick, Nickey J, Kalivas, John H, Lang, Patrick M

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Interrelationships of multivariate regression methods using eigenvector basis sets von Kalivas, John H.

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Uncertainty estimation and figures of merit for multivariate calibration (IUPAC Technical Report) von Olivieri, Alejandro C., Faber, Nicolaas M., Ferré, Joan, Boqué, Ricard, Kalivas, John H., Mark, Howard

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Further investigation on a comparative study of simulated annealing and genetic algorithm for wavelength selection von Hörchner, Uwe, Kalivas, John H.

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Global optimization by simulated annealing with wavelength selection for ultraviolet-visible spectrophotometry von Kalivas, John H, Roberts, Nancy, Sutter, Jon M

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Comparison of Forward Selection, Backward Elimination, and Generalized Simulated Annealing for Variable Selection von Sutter, J.M., Kalivas, J.H.

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Determination of optimal parameters for multicomponent analysis using the calibration matrix condition number von Kalivas, J. H

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Capability of Urine Analysis for the Disease Blastomycosis Using Infrared Spectroscopy with Eigenvector Signal to Noise Assessment von Brenchley, J. M., Green, R. L., Fairchild, S. Z., Kalivas, J. H., Scalarone, G.

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Two data sets of near infrared spectra von Kalivas, John H.

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Evaluation of volume and matrix effects for the generalized standard addition method von Kalivas, John H.

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Evaluation of experimental designs for multicomponent determinations by spectrophotometry von Juhl, L.L., Kalivas, J.H.

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Precision and stability in the generalized standard addition method von Kalivas, J. H

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Optimization using variations of simulated annealing von Kalivas, John H.

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Simulated-annealing-based optimization algorithms: Fundamentals and wavelength selection applications von Hörchner, Uwe, Kalivas, John H.

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Computer-generated multicomponent calibration designs for optimal analysis sample predictions von Hitchcock, Kimberly, Kalivas, John H., Sutter, Jon M.

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Basis sets for multivariate regression von Kalivas, John H.

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Which principal components to utilize for principal component regression von Sutter, Jon M., Kalivas, John H., Lang, Patrick M.

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Generalized simulated annealing for calibration sample selection from an existing set and orthogonalization of undesigned experiments von Kalivas, John H.

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Evaluation of the calibration matrix condition number as a criterion for optimal derivative-spectrophotometric multicomponent quantitation von Juhl, L.L., Kalivas, J.H.

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