The contributors featured are recognized authorities in their fields. Multidisciplinary in scope this Handbook covers experimental methods, non-experimental methods, and their digital-era extensions. It explores topics such as Classical and Bayesian econometrics, Causality, Machine learning, Optimization, and recent advancements in Conjoint Analysis.
This standout collection of analytical methods and application will be useful and educational for all readers, whether they are academics or practitioners in marketing, public policy, or litigation.
Contributors include: M. Akemann, S. Albers, P. Albuquerque, G.M. Allenby, V. Altuglu, A.N. Angulo, A. Ansari, L. Ash, M. Bakker, R. Befurt, T.C. Borek, D. Borrego, B.J. Bronnenberg, Z. Chance, P.K. Chintagunta, M.G. Dekimpe, R. Dhar, D. Dzyabura, R.K. Fair, D.G. Fiebig, M. Fischer, A. Goldfarb, N.J. Goldstein, R. Guha, D.M. Hanssens, M. Hatzis, J.R. Howell, K. Huskey, R. Jacobson, D. Iacobucci, I. Ionova, S. Iyer, V.K. Kanuri, A. Lambrecht, A.Y. Lee, D.R. Lehmann, Y. Li, L. Ma, M.K. Mantrala, N. Mizik, L. O'Laughlin, D. Onul, A. Oza, K. Pauwels, E. Pavlov, K.I. Powers, V.R. Rao, R. Reed-Arthurs, D.M. Ringel, J. Roberts, P.E. Rossi, R. Schwabe, J. Silva-Risso, B. Skiera, J.H. Steckel, O. Toubia, M. Trusov, C. Tucker, A.M. Tybout, K. Wertenbroch, A.G. White, S. Woodhouse, H. Yoganarasimhan, J.D. Zona
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