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Fitting Growth Curve Allowing for Periodicities

  • Thu Hoang
  • Van Parsons
Chapter

Abstract

Curve fitting appeals to many students of growth as a method of, getting parsimonious summary of longitudinal growth data yt in terms of a trend mt, the model being
$${y_t} = {m_t}\; + \;{e_t}$$
where t denotes the age and et the noise. Thus the focus is put exclusively upon the fit of age either parametrically (Marubini, 1978) or nonparametrically (Largo et al., 1978). Among various methods of fitting (Bock and Thissen, 1979), least squares regression is the most widely used with the practice of assuming et to estimate mt then checking et for goodness of fit The structure of the noice is not taken into account in the estimation procedure.

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Copyright information

© Springer Science+Business Media New York 1984

Authors and Affiliations

  • Thu Hoang
    • 1
    • 2
  • Van Parsons
    • 1
    • 2
  1. 1.Université Paris V & InsermFrance
  2. 2.University of CincinnatiUSA

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