Your selections:
The development of correspondence analysis techniques using the family of Cressie–Read power divergence statistics
- Alzarhrani, Asma, Beh, Eric J., Stojanovski, Elizabeth
Features of the Polynomial Biplot for Ordered Contingency Tables
- Beh, Eric J., Lombardo, Rosaria
Multiple correspondence analysis as a tool for examining Nobel Prize data from 1901 to 2018
- Alhuzali, T., Beh, E. J., Stojanovski, E.
Associating cognitive functions with technology features used to support employment for people with intellectual and developmental disability
- Damianidou, Despoina, Arthur-Kelly, Michael, Foggett, Judith, Beh, Eric, Eidels, Ami
Interval-valued scaling of successive categories
Mapping the features of applied cognitive technology for individuals with intellectual and developmental disabilities
A genealogy of correspondence analysis: part 2 - the variants
- Beh, Eric J., Lombardo, Rosaria
Assessing satisfaction with public transport service by ordered multiple correspondence analysis
- Lombardo, Rosario, Camminatiello, Ida, Beh, Eric J.
An algebraic generalisation of some variants of simple correspondence analysis
- Beh, Eric J., Lombardo, Rosaria
Correspondence analysis and the Freeman-Tukey statistic: A study of archaeological data
- Beh, Eric J., Lombardo, Roaria, Alberti, Gianmarco
Application of correspondence analysis to graphically investigate associations between foods and eating locations
- Chapman, Andrew N., Beh, Eric J., Palla, Luigi
- Diah, Anang W. M., Holdsworth, Clovia I., Nur, Darfiana, Beh, Eric
Variants of simple correspondence analysis
- Lombardo, Rosaria, Beh, Eric J.
Correspondence analysis: theory, methods and new strategies
- Beh, Eric J., Lombardo, Rosaria
A visual evaluation of a classification method for investigating the physicochemical properties of Portuguese wine
- Beh, Eric J., Holdsworth, Clovia I.
A European perception of food using two methods of correspondence analysis
- Beh, Eric J., Lombardo, Rosaria, Simonetti, Biagio
Correspondence analysis of cumulative frequencies using a decomposition of Taguchi's statistic
- Beh, Eric J., D'Ambra, Luigi, Simonetti, Biagio
A few moments for simple correspondence analysis
Simple and multiple ordered correspondence analysis to evaluate customer satisfaction
- Lombardo, Rosaria, Beh, Eric J.
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