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A prediction of individual growth of height according to an empirical Bayesian approach

Author

Listed:
  • Takao Shohoji
  • Kouji Kanefuji
  • Takahiro Sumiya
  • Tao Qin

Abstract

No abstract is available for this item.

Suggested Citation

  • Takao Shohoji & Kouji Kanefuji & Takahiro Sumiya & Tao Qin, 1991. "A prediction of individual growth of height according to an empirical Bayesian approach," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(4), pages 607-619, December.
    • Handle: RePEc:spr:aistmt:v:43:y:1991:i:4:p:607-619
    DOI: 10.1007/BF00121642
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    Cited by:

    1. Sara López-Pintado & Ian W. McKeague, 2013. "Recovering Gradients from Sparsely Observed Functional Data," Biometrics, The International Biometric Society, vol. 69(2), pages 396-404, June.
    2. Simone Vincenzi & Marc Mangel & Alain J Crivelli & Stephan Munch & Hans J Skaug, 2014. "Determining Individual Variation in Growth and Its Implication for Life-History and Population Processes Using the Empirical Bayes Method," PLOS Computational Biology, Public Library of Science, vol. 10(9), pages 1-16, September.

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