Optimal Designs for Estimating Individual Coeecients in Fourier Regression Models
نویسندگان
چکیده
In the common trigonometric regression model we investigate the optimal design problem for the estimation of the individual coeecients, where the explanatory variable varies in the interval ?a; a]; 0 < a : It is demonstrated that the structure of the optimal design depends sensitively on the size of the design space. For many cases optimal designs can be found explicitly, where the complexity of the solution depends on the value of the parameter a and the order of the term, for which the corresponding coeecient has to be estimated.
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