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Statistics for Sensory and Consumer Science
Preface. Acknowledgements. 1 Introduction. 1.1 The Distinction between Trained Sensory Panels and Consumer Panels. 1.2 The Need for Statistics in Experimental Planning and Analysis. 1.3 Scales andExpand
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Analysing sensory panel performance in a proficiency test using the PanelCheck software
This paper discusses statistical methods and a workflow strategy for comparing performance across multiple sensory panels that participated in a proficiency test (also referred to as inter laboratoryExpand
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Independent component analysis applied on gas sensor array measurement data
The performance of gas-sensor array systems is greatly influenced by the pattern recognition scheme applied on the instrument's measurement data. The traditional method of choice is principalExpand
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A calibration method for handling the temporal drift of solid state gas-sensors
The reproducibility of chemical sensors is an issue that has to be handled in order to apply sensor-array based instruments for quality control purposes on a routine basis in the laboratory. So far,Expand
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Visualization of sensory profiling data for performance monitoring
Simple graphical techniques can be utilized to investigate the performance of individual assessors and to detect individual differences among assessors in a sensory panel. By visualizing differentExpand
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Characterization of selected South African young cultivar wines using FTMIR spectroscopy, gas chromatography, and multivariate data analysis.
The powerful combination of analytical chemistry and chemometrics and its application to wine analysis provide a way to gain knowledge and insight into the inherent chemical composition of wine andExpand
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Quality Control of Sensory Profile Data
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Path modelling by sequential PLS regression
This paper presents a new approach to path modelling, based on a sequential multi‐block modelling in latent variables. The approach is explorative and focused on interpretation. The method breaksExpand
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30-Day Survival Probabilities as a Quality Indicator for Norwegian Hospitals: Data Management and Analysis
Background The Norwegian Knowledge Centre for the Health Services (NOKC) reports 30-day survival as a quality indicator for Norwegian hospitals. The indicators have been published annually since 2011Expand
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