@article{oai:nagoya.repo.nii.ac.jp:02005451,
 author = {FUJII, Katsunori and YAMAMOTO, Yutaka},
 issue = {1},
 journal = {総合保健体育科学, Nagoya Journal of Health, Physical Fitness & Sports},
 month = {Mar},
 note = {This paper proposes a new approach to the analysis of time series. From time series data, we determine coefficients of Wavelet expansion by solving the simultaneous linear equations. By means of these coefficients, the approximation curve of the first derivative function for a time series curve is described by computer simulation and the characteristics of the time series are examined from point of view of the extremal value for the approximation curve by statistical analysis. We applied this method to the height growth model of boys.},
 pages = {13--17},
 title = {A wavelet interpolation method for a time series analysis in the growth and development study},
 volume = {18},
 year = {1995}
}