Discussiones Mathematicae Probability and Statistics 21(1) (2001) 21-48
Eva Tesaríková Department of Algebra and Geometry, |
Lubomír Kubácek Department of Mathematical Analysis and Applied
Mathematics, |
If a nonlinear regression model is linearized in a non-sufficient small neighbourhood of the actual parameter, then all statistical inferences may be deteriorated. Some criteria how to recognize this are already developed. The aim of the paper is to demonstrate the behaviour of the program for utilization of these criteria.
Keywords: nonlinear regression model, criteria of linearization, demo program.
2000 Mathematics Subjects Classification: 62J02, 62J05.
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Received 13 September 2000