Title of article :
A limit theorem of D-optimal designs for weighted polynomial regression
Author/Authors :
Chang، نويسنده , , Fu-Chuen and Tsai، نويسنده , , Jhong-Shin، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Pages :
13
From page :
26
To page :
38
Abstract :
Consider the D-optimal designs for the dth-degree polynomial regression model with a continuous weight function on a compact interval. As the degree of the model goes to infinity, we derive the asymptotic value of the logarithm of the determinant of the D-optimal design. If the weight function is equal to 1, we derive the formulae of the values of the D-criterion for five classes of designs including (i) uniform density design; (ii) arcsin density design; (iii) J 1 / 2 , 1 / 2 density design; (iv) arcsin support design and (v) uniform support design. The comparison of D-efficiencies among these designs is investigated; besides, the asymptotic expansions and limits of their D-efficiencies are also given. It shows that the D-efficiency of the arcsin support design is the highest among the first four designs.
Keywords :
Arcsin distribution , Arcsin support design , D-Criterion , D-efficiency , D-equivalence theorem , Euler–Maclaurin summation formula , Hankel matrix , Legendre polynomial , Jacobi polynomial , Uniform support design , D-optimal design
Journal title :
Journal of Statistical Planning and Inference
Serial Year :
2014
Journal title :
Journal of Statistical Planning and Inference
Record number :
2222688
Link To Document :
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