ON A GROWTH PREDICTION OF JAPANESE HEIGHT

抄録

When only one physical observation is available at the time point of prediction, we propose a trial approach of growth prediction of height and obtain an expedient confidence region of predicted individual growth. We compare the proposed approach with an empirical Bayesian approach for future growth prediction from the statistical viewpoints of confidence region and goodness of prediction. This proposed approach is better than an empirical Bayesian approach although its expedient prediction is simple.

収録刊行物

Journal of the Japanese Society of Computational Statistics   [巻号一覧]

Journal of the Japanese Society of Computational Statistics 7(1), 65-75, 1994-12  [この号の目次]

日本計算機統計学会

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各種コード

  • NII論文ID(NAID) :
    110001235612
  • NII書誌ID(NCID) :
    AA10823693
  • 本文言語コード :
    ENG
  • ISSN :
    09152350
  • 収録DB :
    NII-ELS