Weakly nonlinear constraints in regression models
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Weakly nonlinear regression model with constraints I: nonlinear hypothesis
Lubomír Kubácek, Eva Tesaríková (2005)
Discussiones Mathematicae Probability and Statistics
The problem considered is under which conditions in weakly nonlinear regression model with constraints I a weakly nonlinear hypothesis can be tested by linear methods. The aim of the paper is to find a region around the approximate value of the regression parameter with the following property. If we are certain that the actual value of the regression parameter is in this region, then the linear method of testing can be used without any significant deterioration of the inference.
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