Consumer Research > References
Publication date: 08/13/2020

References

Abdi, H., Williams, L. J., and Valentin, D. (2013). “Multiple factor analysis: principal component analysis for multitable and multiblock data sets.” WIREs Comp Stat, 5:149–179. doi: 10.1002/wics.1246.

Benjamini, Y., and Hochberg, Y. (1995). “Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing.” Journal of the Royal Statistical Society, Series B 57:289–300.

Breslow, N. E., and Day, N. E. (1980). The Analysis of Case-Control Studies. Statistical Methods in Cancer Research, IARC Scientific Publications, vol. 1, no. 32. Lyon: International Agency for Research on Cancer.

Firth, D. (1993). “Bias Reduction of Maximum Likelihood Estimates.” Biometrika 80:27–38.

Heinze, G., and Schemper, M. (2002). “A Solution to the Problem of Separation in Logistic Regression.” Statistics in Medicine 21:2409–2419.

Kish, L. (1965). Survey Sampling. New York: John Wiley & Sons.

Lavassani, K. M., Movahedi, B., and Kumar, V. (2009). “Developments in Analysis of Multiple Response Survey Data in Categorical Data Analysis: The Case of Enterprise System Implementation in Large North American Firms.” Journal of Applied Quantitative Methods 4:45–53.

Louviere, J. J., Flynn, T. N., and Marley, A. A. (2015). Best-Worst Scaling: Theory, Methods and Applications. Cambridge: Cambridge University Press.

McFadden, D. (1974). “Conditional Logit Analysis of Qualitative Choice Behavior.” in Frontiers in Econometrics edited by P. Zarembka, 105–142. New York: Academic Press. Accessed April 25, 2016. https://eml.berkeley.edu/reprints/mcfadden/zarembka.pdf.

Radcliffe, N. J., and Surry, P. D. (2011). Real-World Uplift Modeling with Significance-Based Uplift Trees. Portrait Technical Report TR-2011-1, Stochastic Solutions. Accessed January 13, 2017. http://www.stochasticsolutions.com/pdf/sig-based-up-trees.pdf.

Rossi, P. E., Allenby, G. M., and McCulloch, R. (2005). Bayesian Statistics and Marketing. Chichester, UK: John Wiley & Sons.

Sall, J. (2002). “Monte Carlo Calibration of Distributions of Partition Statistics.” SAS Institute Inc.,Cary, NC. Accessed July 29, 2015. https://www.jmp.com/content/dam/jmp/documents/en/white-papers/montecarlocal.pdf.

SAS Institute Inc. (2018). “The TTEST Procedure.” In SAS/STAT 15.1 User’s Guide. Cary NC: SAS Institute Inc. https://support.sas.com/documentation/onlinedoc/stat/151/ttest.pdf.

Train, K. E. (2001). “A Comparison of Hierarchical Bayes and Maximum Simulated Likelihood for Mixed Logit.” Department of Economics, University of California, Berkley. Accessed January 13, 2017. https://eml.berkeley.edu/~train/compare.pdf.

Train, K. E. (2009). Discrete Choice Methods and Simulation. 2nd ed. Cambridge University Press.

Westfall, P. H., Tobias, R. D., and Wolfinger, R. D. (2011). Multiple Comparisons and Multiple Tests Using SAS. 2nd ed. Cary, NC: SAS Institute Inc.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).
.