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Analytical chemistry assisted by multi-way calibration: A contribution to green chemistry
(Elsevier Science, 2019-11-01)
A review is presented of recent multi-way calibration protocols involving three-, four- andfive-way data. A brief description of the various data structures and processing models isshown, with emphasis on model selection ...
Impact of Methodological and Calibration Approach on the Association of Central and Peripheral Systolic Blood Pressure with Cardiac Structure and Function in Children, Adolescents and Adults
(Adis, 2019-10)
Introduction: Peripheral and aortic systolic blood pressure (pSBP and aoSBP) were measured using different methodological and calibration approaches to analyze the association and agreement between pSBP and/or aoSBP, and ...
Hypotheses testing for structural calibration model
(SPRINGER, 2011)
The main objective of this paper is to discuss maximum likelihood inference for the comparative structural calibration model (Barnett, in Biometrics 25:129-142, 1969), which is frequently used in the problem of assessing ...
Camera calibration using detection and neural networks
(2013-01-01)
Several applications use robotic vision, such as a robot navigating through an unknown surrounding, can use vision as main navigate sensor. This paper focuses on studying camera calibration via stereo vision by means of ...
Bayesian calibration under a student-t model
(SPRINGER HEIDELBERG, 1998)
In this paper we consider linear calibration problems in regressions models with independent errors distributed according to the Student-t distribution. The approach followed is Bayesian, thus, involving the need for the ...
Calibration and detailed analysis of second-order flow injection analysis data with rank overlap
(Elsevier Science BvAmsterdamHolanda, 2000)
Sensitivity, Prediction Uncertainty, and Detection Limit for Artificial Neural Network Calibrations
(American Chemical Society, 2016-08)
With the proliferation of multivariate calibration methods based on artificial neural networks, expressions for the estimation of figures of merit such as sensitivity, prediction uncertainty, and detection limit are urgently ...