Metrics—When and Why Nonaveraging Statistics Work

Published Online:https://doi.org/10.1287/mnsc.1080.0907

References

  • Cohen M. A., Eliashberg J., Ho T.-H. An analysis of several new product performance metrics. Manufacturing Service Oper. Management (2000) 2(4):337–349LinkGoogle Scholar
  • Cover T. M., Thomas J. A.Elements of Information Theory (1991) (Wiley-Interscience, New York) CrossrefGoogle Scholar
  • Diamond J. M.Guns, Germs, and Steel: The Fates of Human Societies (1997) (W. W. Norton, New York) Google Scholar
  • Gibbons J. D., Chakraborti S.Nonparametric Statistical Inference (2003) 4th ed(CRC Press, New York) Google Scholar
  • Gupta S., Zeithaml V. Customer metrics and their impact on financial performance. Marketing Sci. (2006) 25(6):718–739LinkGoogle Scholar
  • Gupta S., Lehmann D. R., Stuart J. A. Valuing customers. J. Marketing Res. (2004) 41(1):7–18CrossrefGoogle Scholar
  • Hauser J. R. Research, development, and engineering metrics. Management Sci. (1998) 44(12):1670–1689LinkGoogle Scholar
  • Hauser J. R. Metrics thermostat. J. Product Innovation Management (2001) 18(3):134–153CrossrefGoogle Scholar
  • Lindsey J. K. Exact sample size calculations for exponential family models. The Statistician (1997) 46(2):231–237Google Scholar
  • Muth J. F. Rational expectations and the theory of price movements. Econometrica (1961) 29(3):315–335CrossrefGoogle Scholar
  • Ostasiewicz S., Ostasiewicz W. Means and their applications. Ann. Oper. Res. (2000) 97(1):337–355CrossrefGoogle Scholar
  • Peritz B. C. Matched case-control studies in citation analysis. J. Amer. Soc. Inform. Sci. (1982) 33(5):333–337CrossrefGoogle Scholar
  • Price D. J. D., Nelson C. E., Pollack D. K. Citation measures of hard science, soft science, technology and nonscience. Communication Among Scientists and Engineers (1970) (D. C. Heath, Lexington, MA) 3–22Google Scholar
  • Rust R. T., Ambler T., Carpenter G. S., Kumar V., Srivastava R. K. Measuring marketing productivity: Current knowledge and future directions. J. Marketing (2004) 68(4):76–89CrossrefGoogle Scholar
  • Shannon C. E. A mathematical theory of communication. Bell System Tech. J. (1948) 27(July, October):379–423CrossrefGoogle Scholar
  • Shugan S. M. The Anna Karenina bias: Which variables to observe? Marketing Sci. (2007) 26(2):145–148LinkGoogle Scholar
  • Stremersch S., Verhoef P. C. Globalization of authorship in the marketing discipline: Does it help or hinder the field? Marketing Sci. (2005) 24(4):585–594LinkGoogle Scholar
  • Tolstoy L. N.Anna Karenina (1998) (Oxford University Press, Oxford, UK) . (Original work published 1875–1877, Trans. by L. Maude & A. Maude)Google Scholar
  • Tversky A., Kahneman D., Kahneman D., Slovic P., Tversky A. Evidential impact of base rates. Judgment Under Uncertainty: Heuristics and Biases (1982) (Cambridge University Press, Cambridge, UK) 153–160CrossrefGoogle Scholar
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