Literaturverzeichnis - Springer Link

33
Literaturverzeichnis Acito, F. (1977), An Investigation of some Data Collection Issues in Conjoint Measurement, in: Greenberg, B.A./Bellenger, D.N. (Hrsg.), Contemporary Marketing Thought, Chi- cago 1977, S. 82-85. Addelman, S. (1962a), Symmetrical and Asymmetrical Fractional Factorial Plans, in: Tech- nometrics. Vol. 4, 1962, S. 47-58. Addelman, S. (1962b), Orthogonal Main-Effect Plans for Asynmietrical Factorial Experi- ments, in: Technometrics, Vol. 4, 1962, S. 21-46. Adkins, L (1997), A Monte Carlo Study of a Generalized Maximum Entropy Estimator of the Binary Choice Model, in: Advances in Econometrics, Vol. 12, 1997, S. 183-197. Agarwal, M.K. (1988), A monte carlo study investigating configuration recovery in adaptive conjoint analysis, in: Frazier, G.et al (Hrsg.), 1988 AMA Educators'Proceedings: Effi- ciency and effectiveness in marketing, Chicago, IL 1988, S. 292-296. Agarwal, M.K. (1983), A monte carlo study of ties in configuration recovery using conjoint analysis, in: Murphy, P.E.et al. (Hrsg.), 1983 AMA Educators' Proceedings, Chicago, IL 1983, S. 447-451. Agarwal, M.K./Green, P.E. (1991), Adaptive Conjoint Analysis versus Self Explicated Mod- els: Some Empirical Results, in: International Journal of Research in Marketing, Vol. 8, 1991, S. 141-146. Ajzen, I. (1985), From Intentions to Actions: A Theory of Planned Behavior, in: Kuhl, J./Beckmann, J. (Hrsg.), Action Control: From Cognition to Behavior, Berlin 1985, S. 11-39. Akaah, I.P./Korgaonkar, P.K. (1983), An Empirical Comparison of the Predictive Validity of Self-Explicated, Huber-Hybrid, Traditional Conjoint, and Hybrid Conjoint Models, in: Journal of Marketing Research, Vol. 20, 1983, S. 187-197. Akaike, H. (1974), A New Look at Statistical Model Identification, in: IEEE Transactions on Automatic Control, AC-19, 1974, S. 716-723. Alters, S./Brockhoff, K. (1985), Die Giiltigkeit der Ergebnisse eines Testmarktsimulators bei unterschiedlichen Daten und Auswertungsmethoden, in: Zeitschrift fiir betriebswirt- schaftliche Forschung, 37. Jg., H. 3, 1985, S. 191-217. Albrecht, J. (2000), Praferenzstrukturmessung, Frankfurt a.M. 2000. Allenby, G./Rossi, P.E. (1991), There Is No Aggregation Bias: Why Macro Logit Models Work, in: Journal of Business & Economic Statistics, Vol. 9, 1991, S. 1-14. Allenby, G.M./Arora, N./Ginter, J.L. (1995), Incorporating Prior Knowledge into the Analysis of Conjoint Studies, in: Journal of Marketing Research, Vol. 32, 1995, S. 152-162. Allenby, G.M./Arora, N./Ginter, J.L. (1998), On the Heterogeneity of Demand, in: Journal of Marketing Research, Vol. 35, 1998, S. 384-389. Allenby, G.M./Ginter, J.L. (1995), Using extremes to design products and segment markets, in: Journal of Marketing Research, Vol. 32, No. 4, 1995, S. 392-403. 215

Transcript of Literaturverzeichnis - Springer Link

Literaturverzeichnis

Acito, F. (1977), An Investigation of some Data Collection Issues in Conjoint Measurement,

in: Greenberg, B.A./Bellenger, D.N. (Hrsg.), Contemporary Marketing Thought, Chi­

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Addelman, S. (1962b), Orthogonal Main-Effect Plans for Asynmietrical Factorial Experi­

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Adkins, L (1997), A Monte Carlo Study of a Generalized Maximum Entropy Estimator of the

Binary Choice Model, in: Advances in Econometrics, Vol. 12, 1997, S. 183-197.

Agarwal, M.K. (1988), A monte carlo study investigating configuration recovery in adaptive

conjoint analysis, in: Frazier, G.et al (Hrsg.), 1988 AMA Educators'Proceedings: Effi­

ciency and effectiveness in marketing, Chicago, IL 1988, S. 292-296.

Agarwal, M.K. (1983), A monte carlo study of ties in configuration recovery using conjoint

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IL 1983, S. 447-451.

Agarwal, M.K./Green, P.E. (1991), Adaptive Conjoint Analysis versus Self Explicated Mod­

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