Moscow University
Anthropology
Bulletin
Anthropology
Bulletin
Graduate School of Business Administration and Computer Science, Aichi Institute of Technology, Toyota, Japan
Fujii Katsunori, e-mail: fujii@aitech.ac.jp.
Scientific verification is impossible without quantitative assessment of the similarity or dissimilarity to the curve of growth pattern of twins. In this study, this assessment was verified by applying a cross-correlation function in analysing changes from collapsing one of the curves to examine their similarity. The minimum growth curve must be functionalized to apply a cross-correlation function. Thus it is important to approximate the growth curve by the Wavelet Interpolation Method (WIM) proposed by Fujii (1999). Cross correlation function can then be applied to the quantified curve by WIM. Longitudinal growth data consisting of height, weight, sitting height, and leg length was obtained for a pair of identical and a pair of fraternal twins from age six (first year of elementary school) to age 17 (third year of high school). As a result, changes in the cross-correlation coefficient were found by applying the cross-correlation function to identical and fraternal twin height growth described by WIM and collapsing one (set of) growth distance values and velocity values. With r = 0.93 for identical twins and r = 0.74 for fraternal twins, similarity in identical twins was found to be very high when examining changes in correlation coefficients. Similarity among identical twins was also found to be high when weight, sitting height and leg length were analysed, with high correlation coefficients in all three.
cross-correlation function, wavelet interpolation method, twins, similarity, dissimilarity
Цит.: Fujii Katsunori CONFIRMATION REGARDING SIMILARITY AND DISSIMILARITY TO PHYSICAL GROWTH CURVE OF TWINS BY CROSS-CORRELATION FUNCTION // Moscow University Anthropology Bulletin (Vestnik Moskovskogo Universiteta. Seria XXIII. Antropologia), 2014; 3/2014; с. 51-51
Download text