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An alternating least-squares procedure for estimating missing preference data in product-concept testing

DeSarbo, Wayne - In: Decision sciences : DS 17 (1986) 2, pp. 163-185

Persistent link: https://www.econbiz.de/10001026661

Superordinate factorial designs in the analysis of consumer judgments

Green, Paul E.; Carroll, J. Douglas; Carmone, Frank J. - In: Journal of Business Research 4 (1976) 4, pp. 281-295

Persistent link: https://www.econbiz.de/10005474086

New computer tools for product strategy

Green, Paul E.; Carroll, J. Douglas - In: New-product forecasting : models and applications, (pp. 109-154). 1981

Persistent link: https://www.econbiz.de/10002539726

Some new types of fractional factorial designs for marketing experiments

Green, Paul E.; Carroll, J. Douglas; Carmone, Frank J. - In: Research in marketing : an annual compilation of research (1978), pp. 99-122

Persistent link: https://www.econbiz.de/10002540054

Superordinate factorial designs in the analysis of consumer judgements

Green, Paul E.; Carroll, J. Douglas; Carmone, Frank J. - In: Journal of business research : JBR 4 (1976) 4, pp. 281-295

Persistent link: https://www.econbiz.de/10002540082

Psychometric methods in marketing research : part II, multidimensional scaling

Carroll, J. Douglas; Green, Paul E. - 2007

Persistent link: https://www.econbiz.de/10003541509

Mathematical tools for applied multivariate analysis

Green, Paul E.; Carroll, J. Douglas - 1976

Persistent link: https://www.econbiz.de/10004570030

Analyzing multivariate data

Lattin, James M.; Carroll, J. Douglas; Green, Paul E. - 2003 - [Reprint]

Persistent link: https://www.econbiz.de/10003878674

Analyzing multivariate data

Lattin, James M.; Carroll, J. Douglas; Green, Paul E. - 2003

Persistent link: https://www.econbiz.de/10004818551

Three-Way Multivariate Conjoint Analysis

DeSarbo, Wayne S.; Carroll, J. Douglas; Lehmann, Donald R. - In: Marketing Science 1 (1982) 4, pp. 323-350

Three-Way Multivariate Conjoint Analysis is developed as an extension of traditional metric conjoint analysis allowing one to examine several dependent variables simultaneously, as well as individual differences in response. Four nested models are developed to examine the effects of the...

Persistent link: https://www.econbiz.de/10008789669