- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
ON A GROWTH PREDICTION OF JAPANESE HEIGHT
-
- Sumiya Takahiro
- Faculty of Integrated Arts and Sciences, Hiroshima University
-
- Shohoji Takao
- Faculty of Integrated Arts and Sciences, Hiroshima University
-
- Shafiul Islam A. S. M.
- Graduate School of Engineering, Hiroshima University
Search this article
Description
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
-
- Journal of the Japanese Society of Computational Statistics
-
Journal of the Japanese Society of Computational Statistics 7 (1), 65-75, 1994-12
Japanese Society of Computational Statistics
- Tweet
Details 詳細情報について
-
- CRID
- 1570291226977202560
-
- NII Article ID
- 110001235612
-
- NII Book ID
- AA10823693
-
- ISSN
- 09152350
-
- Text Lang
- en
-
- Data Source
-
- CiNii Articles