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
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Abstract
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.
Journal
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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
Japanese Society of Computational Statistics
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Details
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- CRID
- 1570291226977202560
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- NII Article ID
- 110001235612
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- NII Book ID
- AA10823693
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- ISSN
- 09152350
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- Text Lang
- en
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- Data Source
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- CiNii Articles