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The Effective Sample Size and an Alternative Small-Sample Degrees-of-Freedom Method

Author

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  • Faes, Christel
  • Molenberghs, Geert
  • Aerts, Marc
  • Verbeke, Geert
  • Kenward, Michael G.

Abstract

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Suggested Citation

  • Faes, Christel & Molenberghs, Geert & Aerts, Marc & Verbeke, Geert & Kenward, Michael G., 2009. "The Effective Sample Size and an Alternative Small-Sample Degrees-of-Freedom Method," The American Statistician, American Statistical Association, vol. 63(4), pages 389-399.
    • Handle: RePEc:bes:amstat:v:63:i:4:y:2009:p:389-399
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    File URL: http://pubs.amstat.org/doi/abs/10.1198/tast.2009.08196
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    Cited by:

    1. Hasler Mario, 2013. "Multiple Contrasts for Repeated Measures," The International Journal of Biostatistics, De Gruyter, vol. 9(1), pages 1-13, July.
    2. Acosta, Jonathan & Alegría, Alfredo & Osorio, Felipe & Vallejos, Ronny, 2021. "Assessing the effective sample size for large spatial datasets: A block likelihood approach," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
    3. Jesse Tack & Keith H. Coble & Robert Johansson & Ardian Harri & Barry J. Barnett, 2019. "The Potential Implications of “Big Ag Data” for USDA Forecasts," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 668-683, December.
    4. Konrad Klotzke & Jean-Paul Fox, 2019. "Modeling Dependence Structures for Response Times in a Bayesian Framework," Psychometrika, Springer;The Psychometric Society, vol. 84(3), pages 649-672, September.
    5. Julie Bertrand & Emmanuelle Comets & Marylore Chenel & France Mentré, 2012. "Some Alternatives to Asymptotic Tests for the Analysis of Pharmacogenetic Data Using Nonlinear Mixed Effects Models," Biometrics, The International Biometric Society, vol. 68(1), pages 146-155, March.
    6. Jonathan Acosta & Felipe Osorio & Ronny Vallejos, 2016. "Effective Sample Size for Line Transect Sampling Models with an Application to Marine Macroalgae," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(3), pages 407-425, September.

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