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Variance estimation

  • Sylvie Huet
  • Annie Bouvier
  • Marie-Anne Gruet
  • Emmanuel Jolivet
Part of the Springer Series in Statistics book series (SSS)

Abstract

In the radioimmunological assay of cortisol example, we introduced the necessity of using nonlinear regression models with heterogeneous variances, and we suggested the weighted least squares method for analyzing this particular data set (see sections 1.1.2, 1.3 and 2.4.2). This method, however, is not adequate for every situation. Whereas the radioimmunological assay of cortisol data provided many replications for each variance, some data sets only provide a few replications, and some provide none at all, as we illustrate in the examples below.

Keywords

Maximum Likelihood Estimator Maximum Likelihood Method Confidence Region Wald Statistic Nonlinear Regression Model 
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 Science+Business Media New York 1996

Authors and Affiliations

  • Sylvie Huet
    • 1
  • Annie Bouvier
    • 1
  • Marie-Anne Gruet
    • 1
  • Emmanuel Jolivet
    • 2
  1. 1.INRA Laboratoire de BiométrieJouy-en-Josas CedexFrance
  2. 2.INRA SESAMESParis Cedex 07France

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