SERVICES
Fritz Statistical Consulting LLC
Services
Fritz Statistical Consulting has expertise in a wide variety of advanced and standard statistical methods and the experience to choose the most appropriate method for your project needs.
Examples of Services Available:
- Preference mapping to identify key drivers of liking or emotion
- Perceptual mapping via PCA, factor analysis, partial least squares, Procrustes analysis, multiple factor analysis, multi-dimensional scaling
- Segmentation/cluster analysis to identify consumer segments, identify groups of similar products or identify attributes that are used in a similar manner
- Emotion mapping
- Experimental design (optimization, screening, mixture designs)
- Category appraisal studies
- Stations studies for selecting the best components of a complex product
- Round robin/paired comparison analyses
- ANOVA and means separation tests for consumer and descriptive evaluations
- Chi-square tests for categorical data
- Nonparametric tests (Friedman's test, preference ranking, tests for non-normal data)
- Repeated measures ANOVA for evaluation of products over time
- Flash profile
- Sorting studies
- Conjoint and MaxDiff
- Temporal Dominance of Sensations (TDS)
- Penalty/mean drop analysis
- TURF analysis to select the best product line
- Multiple regression modeling
- Logistic regression
- Data mining
- Modeling of fragrance or food performance vs. chemical properties
- Modeling of microbiological stability
- CHAID/CART/Tree methods
- Quality control/SPC
Fritz Statistical Consulting supports clients from around the world. Statistical analyses and training have been provided to clients from the U.S., Europe, Latin America and Asia.
Fritz Statistical Consulting also provides training in Experimental Design, Multivariate Statistics (Preference Mapping, Segmentation, Liking Drivers) and Statistics for Consumer & Sensory Testing. Other training programs can be tailored to fit your needs.