ON A GROWTH PREDICTION OF JAPANESE HEIGHT
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- Sumiya Takahiro
- Faculty of Integrated Arts and Sciences, Hiroshima University
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- Shohoji Takao
- Faculty of Integrated Arts and Sciences, Hiroshima University
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- Shafiul Islam A. S. M.
- Graduate School of Engineering, Hiroshima University
この論文をさがす
説明
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
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- Journal of the Japanese Society of Computational Statistics
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Journal of the Japanese Society of Computational Statistics 7 (1), 65-75, 1994-12
日本計算機統計学会
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詳細情報 詳細情報について
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- CRID
- 1570291226977202560
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- NII論文ID
- 110001235612
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- NII書誌ID
- AA10823693
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- ISSN
- 09152350
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- 本文言語コード
- en
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- データソース種別
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- CiNii Articles