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Nonparametric Methods

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Part of the Springer Texts in Statistics book series (STS)

Abstract

Most of the methods considered in previous chapters require distributional assumptions on either the joint distribution of a subject’s repeated measurements or on the marginal distributions at each time point. For example, Chapters 3, 4, 5, and 6 assume that the vectors of repeated measurements have a multivariate normal joint distribution, either with an arbitrary covariance structure (Chapters 3 and 4) or with some type of structured covariance matrix (Chapters 5 and 6). In Chapter 7, the underlying model for the weighted least squares (WLS) approach is the multinomial distribution. Although the distributional assumptions are much weaker for the methods discussed in Chapter 9, one still must make some basic assumptions concerning the marginal distributions at each time point.

Keywords

Nonparametric Method Cochlear Implant Weighted Little Square Estimable Parameter FORTRAN Subroutine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 2002

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