Case Studies
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An efficient product re-formulation using The Unscrambler® |  |
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Multivariate data analysis in sensory science using The Unscrambler® | |
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Partial Least Squares (PLS) Regression. | |
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Assessing Performance of a Sensory Panel-Panelist Monitoring and Tracking | |
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3-way & 3-Block PLS Regression in Consumer Preference Analysis | |
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A comparitive study of FT-Raman and NIR-S Method for assessment of Protein and apparent amylose in Rice | |
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Asphaltene Aggregation from crude oils and model systems studied by high- pressure NIR-Spectroscopy | |
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Processing Structured Data to Help Smart People Get Smarter | |
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Interpreting Statistical Software "Error" Messages |  |
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Martens Uncertainty Test [low-res graphics version - HTML] | |
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Improvements To Preference Cluster Mapping | |
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Using Sensory to Predict Potential Market Share Growth | |
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Sensory and Cognitive Factors in Food Preference | |
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Linking the Consumer to the Scientist, D. Lundahl | |
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The End of Sensory Science, D. Lundahl | |
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Classification of Herbal medicines using FTIR spectra analysis | |
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Statistics and Data Mining in the Analysis of Massive Data Sets, J. Kolsky | |
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Interpreting Results from Cluster Analysis, J. Kolsky | |
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Thurstonian Models - an Answer to Gridgeman's Paradox, D. Lundahl | |
