By Linda A. Clark, William S. Cleveland, Lorraine Denby, Chuanhai Liu (auth.), Constantine Gatsonis, Robert E. Kass, Bradley Carlin, Alicia Carriquiry, Andrew Gelman, Isabella Verdinelli, Mike West (eds.)
The 4th Workshop on Case reviews in Bayesian facts was once held on the automobile negie Mellon college campus on September 27-28, 1997. As long ago, the workshop featured either invited and contributed case stories. the previous have been provided and mentioned intimately whereas the latter have been awarded in poster layout. This quantity comprises the 4 invited case experiences with the accompanying discus sion in addition to 9 contributed papers chosen through a refereeing method. whereas many of the case stories within the quantity come from biomedical learn the reader also will locate reports in environmental technological know-how and advertising examine. INVITED PAPERS In Modeling buyer Survey information, Linda A. Clark, William S. Cleveland, Lorraine Denby, and Chuanhai LiD use hierarchical modeling with time sequence parts in for shopper price research (CVA) facts from Lucent applied sciences. the knowledge have been derived from surveys of shoppers of the corporate and its competi tors, designed to evaluate relative functionality on a spectrum of matters together with product and repair caliber and pricing. The version offers a whole description of the CVA info, with random position and scale results for survey respondents and longitudinal corporation results for every characteristic. as well as assessing the functionality of particular businesses, the version permits the empirical exploration of the conceptual foundation of purchaser price research. The authors position specific em phasis on graphical screens for this advanced, multivariate set of information and comprise a wealth of such plots within the paper.
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Additional resources for Case Studies in Bayesian Statistics: Volume IV
2 • 2 • 2 • 2 • 2 • Quarter FIGURE 14. Posterior Distribution: Adjusted Quarterly Rating Given Attribute and Company Customer Survey Data , . , . , . , Pull Pub Pub Pull Pub Pub Pub KevI KevI KevI KII'I. KII'i. KevI KII'I. u. suP 37 Pub Pull r-o. ealu*rod-olJ I i ! I II iI ·T·i'u tt·· ·ft·· ··(r· ··tt" ·+·i··· ··t··j·" . 'IIII . il :! :! -- "7! ;0.. (f ++. -t·! _0 Cab Cab Cab cost I "alue 2 • 2 • Cab Cab 2 l • :: ill rOo T·t Cab Cab Cab er-411 eatu,. rod-olJ 2 • 2 • Quarter FIGURE 15. Posterior Distribution: Adjusted Quarterly Rating Given Attribute and Company 38 Clark, Cleveland, Denby and Liu ~ ~ ~ I I ~ ~ !
Bayesian analysis of errors-in-variables regression models. Biometrics 51,1085-1095. K. and Chang, H. (1992). Model determination using predictive distributions with implementation via sampling-based methods. In Bayesian Statistics 4 (eds. M. 0. P. M. Smith), pp. 147-167. Oxford: Oxford University Press. Goldstein, H. l. (1996). Statistical aspects of institutional performance: league tables and their limitations (with discussion). , Thomas, A. G. (1995a). Computation on Bayesian graphical models.
M. (1970). , Holden-Day, Oakland, CA. Box, G. E. P. (1980). Sampling and Bayes' Inference in Scientific Modelling and Robustness, Journal of the Royal Statistical Society A 143, 383-430. Bradlow, E. T. and Zaslavsky (1997). A Hierarchical Latent Variable Model for Ordinal Data from a Customer Satisfaction Survey with "No Answer" Responses. Technical Report, Department of Marketing, Wharton School, University of Pennsy Ivania. Cleveland, W. S. (1993). com. Cleveland, W. , and Liu, C. (1998). Random Location and Scale Models for Case Data, in preparation.