المؤلفون: Chiou, Jeng-Min, Muller, Hans-Georg

المصدر: Journal of the American Statistical Association, 2001 Jun 01. 96(454), 534-537.

الوصول الحر: https://www.jstor.org/stable/2670292Test

المؤلفون: Capra, William B.¹, Muller, Hans-Georg²

المصدر: Journal of the American Statistical Association. Mar1997, Vol. 92 Issue 437, p72-83. 12p. 4 Charts, 10 Graphs.

مصطلحات موضوعية: *ANALYSIS of covariance, *DATA analysis, *STOCHASTIC analysis, *NONPARAMETRIC statistics, CURVES

مستخلص: We propose a nonparametric method of data analysis for situations where the data consist of a sample of curves and a covariate is present. We assume the observed curves to be time-accelerated versions of a basic underlying stochastic process and assume the time acceleration factor for each observed process, determining the "eigenzeit," to be a smooth function of the covariate. We discuss an iterative procedure to estimate the components of the model nonparametrically, using cross-validation to determine smoothing parameters using a leave-one-curve-out technique. Our example concerns time courses of mortality for a sample of cohorts of fruit flies. [ABSTRACT FROM AUTHOR]

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