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An Applied Statistician's Creed

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  • Marks R. Nester

Abstract

Hypothesis testing, as performed in the applied sciences, is criticized. Then assumptions that the author believes should be axiomatic in all statistical analyses are listed. These assumptions render many hypothesis tests superfluous. The author argues that the image of statisticians will not improve until the nexus between hypothesis testing and statistics is broken.

Suggested Citation

  • Marks R. Nester, 1996. "An Applied Statistician's Creed," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 45(4), pages 401-410, December.
    • Handle: RePEc:bla:jorssc:v:45:y:1996:i:4:p:401-410
    DOI: 10.2307/2986064
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    Cited by:

    1. Norman Fickel, 2000. "Sequential Regression: A Neodescriptive Approach to Multicollinearity," Econometrics 0004009, University Library of Munich, Germany.
    2. Andrew Briggs & Richard Nixon & Simon Dixon & Simon Thompson, 2005. "Parametric modelling of cost data: some simulation evidence," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 421-428, April.
    3. Tomas Macak, 2021. "Stability of Dependencies of Contingent Subgroups with Merged Groups: Vaccination Case Study," Mathematics, MDPI, vol. 9(22), pages 1-12, November.
    4. Anand Desai, 2008. "Quantitative methods, economics, and or models," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 640-669.
    5. Norman Fickel, 2001. "Sequential Regression: A Neodescriptive Approach to Multicollinearity," EERI Research Paper Series EERI_RP_2001_09, Economics and Econometrics Research Institute (EERI), Brussels.
    6. Stephen Gorard, 2016. "Damaging Real Lives through Obstinacy: Re-Emphasising Why Significance Testing is Wrong," Sociological Research Online, , vol. 21(1), pages 102-115, February.

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