Adaptive Information Systems and Modelling in Economics and by Alfred Taudes (auth.), Univ.-Prof. Mag. Dr. Alfred Taudes

By Alfred Taudes (auth.), Univ.-Prof. Mag. Dr. Alfred Taudes (eds.)

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Fr¨uhwirth-Schnatter, S. and Otter, T. (1999). Conjoint-analysis using mixed-effect models. , editors, Statistical Modeling, pages 181–191, Graz. Proceedings of the 14th International Workshop on Statistical Modelling. Goodall, B. (1991). Understanding holiday choice. , editor, Progress in Tourism, Recreation and Hospitality Management, volume 3. Belhaven, London. Hauser, J. and Shugan, S. (1983). Defensive marketing strategies. Marketing Science, 2:319–360. Hauser, J. and Wernerfelt, B. (1990).

Note, according to the interpretation we suggest below, a zero (one) measurement can be thought of as indicating a ‘low’ (‘high’) belief, but given a single measurement this is ‘pointless’ information. Satisfaction/Satisception: Similarly, the intensity and direction of the overall and attribute specific (dis)satisfaction of a consumer, is measured on a five-point bipolar scale. Let yij,t , zijk,t ∈ {−2, −1, 0, 1, 2} denote the ith consumer’s stated overall (dis)satisfaction with product j, and with the product’s kth attribute, respectively.

SN are conditionally independent given y N ,λN and φ and we sample Si from the discrete distribution: 2 p(Si = k|yi , φ, λi ) ∝ p(yi |α, βkG , QG k , σε , λi ) · ηk , where the likelihood is obtained by using the heteroscedastic model representation (6) with the random effects β N integrated out. The likelihood is therefore 2 2 normally distributed with N (yi ; Xi1 α + Xi2 βkG , Xi2 QG k (Xi ) + σε,i I). 60 (ii) Sampling the weights η: Since η depends only on the switching variable S N sampling η conditionally on y N , φ, S N , λN and β N simplifies to sampling from the posterior p(η|S N ).

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