Inference and Stable Transformations

  • Gavin J. S. Ross
Part of the Springer Series in Statistics book series (SSS)


Practical experience with fitting nonlinear models shows that for some data the model cannot be fitted at all, whereas for other data more than one solution may be found. Stable parameters enable us to describe in broad terms the characteristics of data sets likely to cause problems. For numerical analysts the answer may lie in seeking algorithms for global optimization, but for statisticians a deeper understanding of the problem is needed.


Solution Locus Stable Parameter Stable Transformation Solution Region Dispersion Matrix 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag New York, Inc. 1990

Authors and Affiliations

  • Gavin J. S. Ross
    • 1
  1. 1.Statistics DepartmentInstitute of Arable Crops Research Rothamsted Experimental StationHarpenden, HertsEngland

Personalised recommendations