Statistical modeling and business expertise, or where is the truth?

Model Assisted Statistics and Applications

Volumn 3, Issue 1, 2008, Pages 3-20

  Mandel, Igor ^a  

^a Advanced Marketing Models   (United States)

Author keywords

Business decisions; Causal analysis; Marketing mix modeling; Regression; Statistical modeling; Yield analysis

Indexed keywords

EID: 42449162206     PISSN: 15741699     EISSN: None     Source Type: Journal    
DOI: 10.3233/mas-2008-3102     Document Type: Article

References (59)

1. J. Aitchison, The Statistical Analysis of Compositional Data, Chapman & Hall, 1986.
2. A. Asuncion and D.J. Newman, UCI Machine Learning Repository, University of California, www.ics.uci.edu/~mlearn/MLRepository.html, 2007.
3. P. Ball, Critical Mass. How One Thing Leads to Another, Farrar, Straus and Giroux, 2006.
4. A.C. Bemmaor and P.H. Franses, The diffusion of marketing science in the practitioners' community: Opening the black box, Applied Stochastic Models in Business and Industry 21 (2005), 289-301.
5. R. Berk, Regression Analysis: A Constructive Critique, Sage Publications, 2003.
6. H. Bierens, Multicollinearity, htpp://econ.la.psu.edu/~hbierens/ MULTCOL.PDF, Pennsylvania State University, 2005.
7. S. Broadbent, Accountable Advertisement, Admap Publications, UK, 1997.
8. G. Casella and E. Moreno, Objective Bayesian Variable Selection, Journal of the American Statistical Association 101 (2006), 157-167.
9. E. Demidenko and I. Mandel, Yield Analysis and Mixed Model, in: Joint Statistical Meeting Proceedings, ASA, Alexandria, 2005, 1636-1643.
10. A. Ehrenberg, My Research in Marketing, Admap Magazine 471 (2005).
11. R. Echambadi, B. Campbell and R. Agarwal, Encouraging Best Practice in Quantitative Management Research: An Incomplete List of Opportunities, Journal of Management Studies 43(8) (2006), 1801-1820.
12. P.H. Franses and C. Heij, Estimated parameters do not get the wrong sign due to collinearity across included variables, ERIM report series research in management, ERIM 2002-31-MKT, Erasmus research institute of management, March 2002, 20-29.
13. J. Han and M. Kamber, Data Mining: Concepts and Techniques, Elsevier, 2006.
14. D. Hand, Deception and dishonesty with data: Fraud in science, Significance 4(1) (2007), 22-25.
15. T. Hastie, R. Tibshirani and J. Friedman, The Elements of Statistical Learning: Data Mining, Inference and Prediction, Springer-Verlag, 2001.
16. C. Hemelrijk, ed., Self-organization and Evolution of Biological and Social Systems, Cambridge University Press, 2005.
17. A.E Hoerl and R.W. Kennard, Ridge regression: Biased estimation for nonorthogonal problems, Technometrics 12(3) (1970), 55-67.
18. K. Hoover, Causality in Macroeconomics, Cambridge University Press, 2001.
19. D.G. Gibbons, A simulation studies of some ridge estimators. Journal of American Statistical Association 76 (1981), 30-41.
20. G. Golub, M. Heath and G. Wahba, Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter, Technometrics 21 2) (1979), 25-39.
21. C. Granger and P. Newbold, Spurious regressions in econometrics, Journal of Econometrics 2 (1974), 10-20.
22. S. Keller-McNulty, Epiphany: I Am an Engineer, Amstat News 344 2) (2006), 5.
23. R.B. Kline, Principles and Practice of Structural Equation Modeling The Guilford Press, 2005.
24. L. Krishnamurthi and A. Rangaswamy, The equity estimator for marketing research, Marketing Science 6 (1987), 336-357.
25. D. Kuznetsov and I. Mandel, Statistical physics of media processes: Mediaphysics, Physica A 377 (2007), 253-268.
26. E. Leamer, Multicollinearity:A Bayesian interpretation. The Review of Economics and Statistics 1 (1973), 56-76.
27. E. Leamer, Sensitivity Analyses Would Help, American Economic Review 57(3) (1985).
28. V. Lefebvre, Algebra of Conscience, Kluwer Academic Publishers, 2002.
29. L.M. Lesser and E. Nordenhaug, Ethical Statistics and Statistical Ethics: Making an Interdisciplinary Module, Journal of Statistics Education 12(3) (2004), 50-56.
30. I. Lipkovich, Bayesian Model Averaging and Variable Selection in Multivariate Ecological Models, Ph.D. Dissertation, Virginia Polytechnic Institute, 2002
31. S. Lipovetsky and M. Conklin, Incremental net effects in multiple regression, International Journal of Mathematical Education in Science and Technology 36(4) (2005).
32. S. Lipovetsky and M. Conklin, Data Aggregation and Simpson's Paradox Gauged by Index Numbers, European Journal of Operational Research 172 (2006), 334-351.
33. S., Lipovetsky, Two-parameter ridge regression and its convergence to the eventual pairwise model, Mathematical and Computer Modeling 44 (2006).
34. S. Lipovetsky and M. Conklin, A Model for Considering Multicollinearity, International Journal of Mathematical Education in Science and Technology 34 (2006).
35. S.C. Losh, Guidance to Introductory Statistics, Florida State University, http://edf5400-01.fa04.fsu.edu/Guide8.html, 2004.
36. J. Mahoney, Comparative-historical methodology, Annual Review of Sociology 30 (2004), 81-101.
37. J. McCauley, Dynamics of Markets: Econophysics and Finance, Cambridge University Press, 2004.
38. I. Mandel, Klasternyi Analiz (Cluster Analysis), Finance and Statistics, Moscow, 1988; review by V. Kamensky, Journal of Classification 7 (1990), 119-123.
39. I. Mandel, Multicollinearity problem in marketing studies, in: Joint Statistical Meeting Abstracts Book, ASA, Alexandria, 2003.
40. I. Mandel, Statistical aspects of marketing mix models, in: Joint Statistical Meeting Proceedings, ASA, Alexandria, 2007.
41. I. Mandel and D. Kuznetsov, Statistical and Physical Paradigms in Social Sciences, Statistical Methodology (2008), in progress.
42. R. Matthews, Storks deliver babies (p = 0.008), Teaching Statistics 22(2) (2000), 36-39.
43. H. Murukami, The Wind-up Bird Chronicle, Vintage, 1999.
44. P.A., Naik and D.E. Schultz and S. Srinivasan, Perils of Using OLS to Estimate Muitimedia Communications Effects, Journal of Advertising Research 9 (2007), 257-269.
45. M. North and C. Macal, Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation, Oxford University Press, 2007.
46. J. Pearl, Causality, Cambridge University Press, 2000.
47. J. Pearl, Statistics and Causal Inference: A Review (together with following discussion and a rejoinder), Test 12(2) (2003), 281-345.
48. A. Rangaswamy and L. Krishnamurthi, Equity Estimation and Assessing Market Response: A Rejoinder, Journal of Marketing Research XXXII (1995).
49. J. Robins, General methodological considerations. Journal of Econometrics 112 (2003), 89-106.
50. D. Rubin, Matched Sampling for Causal Effects, Cambridge University Press, 2006.
51. X.X. Sala-I-Martin, I Just Ran Two Million Regressions, The American Economic Review 87(2) (1997).
52. B. Sorensen, Granger Causality, Economics 7395 (March 1, 2005).
53. P.A. Sorokin, Fads and Foibles in Modern Sociology and Related Sciences, 1956, Henry Regnery Company (Gateway edition, 1965).
54. P. Spirtes, C. Glymour and R. Scheines, Causation, Prediction, and Search (Adaptive Computation and Machine Learning), The MIT Press, 2001.
55. H. Theil, Principles of Econometrics, John Wiley and Sons, Inc., 1971.
56. A.N. Tikhonov and V.Y. Arsenin, Solutions of Ill-Posed Problems, Winston, 1977.
57. A.R. Wildt, Equity Estimation and Assessing Market Response, Journal of Marketing Research 30(4) (1993).
58. S. Wright, Correlation and Causation, Journal of Agricultural Research 20(7) (1921).
59. L. Zadeh, Causality is indefinable, www.cs.berkeley.edu/~nikraves/zadeh/ Zadeh2.doc, 2003.