[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/rmm/journl/v3y2012i56.html
   My bibliography  Save this article

Statistical Science and Philosophy of Science Part 2: Shallow versus Deep Explorations

Author

Listed:
  • Deborah Mayo

    (Virginia Polytechnic and State University Blacksburg)

Abstract
Inability to clearly defend against the criticisms of frequentist methods has turned many a frequentist away from venturing into foundational battlegrounds. Conceding the distorted perspectives drawn from overly literal and radical expositions of what Fisher, Neyman, and Pearson ‘really thought’, some deny they matter to current practice. The goal of this paper is not merely to call attention to the howlers that pass as legitimate criticisms of frequentist error statistics, but also to sketch the main lines of an alternative statistical philosophy within which to better articulate the roles and value of frequentist tools.

Suggested Citation

  • Deborah Mayo, 2012. "Statistical Science and Philosophy of Science Part 2: Shallow versus Deep Explorations," Rationality, Markets and Morals, Frankfurt School Verlag, Frankfurt School of Finance & Management, vol. 3(56), September.
    • Handle: RePEc:rmm:journl:v:3:y:2012:i:56
    as

    Download full text from publisher

    File URL: http://www.rmm-journal.de/downloads/Article_Mayo2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Spanos,Aris, 1999. "Probability Theory and Statistical Inference," Cambridge Books, Cambridge University Press, number 9780521424080.
    2. Neyman, Jerzy, 1952. "Lectures and Conferences on Mathematical Statistics and Probability," USDA Miscellaneous 327287, United States Department of Agriculture.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sucarrat, Genaro, 2009. "Forecast Evaluation of Explanatory Models of Financial Variability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-33.
    2. McGuirk, Anya M. & Spanos, Aris, 2004. "Revisiting Error Autocorrelation Correction: Common Factor Restrictions And Granger Causality," 2004 Annual meeting, August 1-4, Denver, CO 20176, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Aris Spanos & Niki Papadopoulou, 2013. "A Small Macroeconometric Model for the Cyprus Economy," Working Papers 2013-02, Central Bank of Cyprus.
    4. Fu, Shengfei & Florkowski, Wojciech, 2016. "Polish Household Consumption of Tobacco and Alcohol: A Censored System," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229795, Southern Agricultural Economics Association.
    5. Maria S. Heracleous, 2007. "Sample Kurtosis, GARCH-t and the Degrees of Freedom Issue," Economics Working Papers ECO2007/60, European University Institute.
    6. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE, revised 2019.
    7. Pantelis Kalaitzidakis & George Korniotis, 2000. "The Solow growth model: vector autoregression (VAR) and cross-section time-series analysis," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 739-747.
    8. Sriananthakumar, Sivagowry, 2013. "Testing linear regression model with AR(1) errors against a first-order dynamic linear regression model with white noise errors: A point optimal testing approach," Economic Modelling, Elsevier, vol. 33(C), pages 126-136.
    9. Haugom, Erik & Ullrich, Carl J., 2012. "Market efficiency and risk premia in short-term forward prices," Energy Economics, Elsevier, vol. 34(6), pages 1931-1941.
    10. Chen, Xiaofen, 2007. "Banking deregulation and credit risk: Evidence from the EU," Journal of Financial Stability, Elsevier, vol. 2(4), pages 356-390, March.
    11. T. Dalenius & B. Matérn, 1964. "Is there a need for a unified theory of random experiments?," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 8(1), pages 235-247, December.
    12. Deborah Mayo, 2011. "Statistical Science and Philosophy of Science: Whrer Do / Should They Meet in 2011 (and Beyond)?," Rationality, Markets and Morals, Frankfurt School Verlag, Frankfurt School of Finance & Management, vol. 2(44), October.
    13. Michael Lechner, 2002. "Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 59-82, February.
    14. Manfred Kremer, 2016. "Macroeconomic effects of financial stress and the role of monetary policy: a VAR analysis for the euro area," International Economics and Economic Policy, Springer, vol. 13(1), pages 105-138, January.
    15. Robin Cross & Rolf Färe, 2008. "Farrell efficiency under value and quantity data," Journal of Productivity Analysis, Springer, vol. 29(3), pages 193-199, June.
    16. Kremer, Manfred & Lo Duca, Marco & Holló, Dániel, 2012. "CISS - a composite indicator of systemic stress in the financial system," Working Paper Series 1426, European Central Bank.
    17. Spanos, Aris, 2010. "Akaike-type criteria and the reliability of inference: Model selection versus statistical model specification," Journal of Econometrics, Elsevier, vol. 158(2), pages 204-220, October.
    18. Radu Tunaru & Ephraim Clark & Howard Viney, 2005. "An option pricing framework for valuation of football players," Review of Financial Economics, John Wiley & Sons, vol. 14(3-4), pages 281-295.
    19. B.D. McCullough & Kerry Anne McGeary & Teresa D. Harrison, 2008. "Do economics journal archives promote replicable research?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 41(4), pages 1406-1420, November.
    20. Mallick, Debdulal, 2008. "Marginal and interaction effects in ordered response models," Working Papers eco_2008_13, Deakin University, Department of Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rmm:journl:v:3:y:2012:i:56. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Friederike Pförtner (email available below). General contact details of provider: https://edirc.repec.org/data/hfbfide.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.