DT-optimum designs for model discrimination and parameter estimation

被引：63
|
作者：
Atkinson, A. C. [1 ]
机构：
[1] London Sch Econ, Dept Stat, London WC2A 2AE, England
来源：
JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 2008年 / 138卷 / 01期
关键词：
D-optimum desigm; D(I) -optimum design; equivalence theorem; nonlinear model; T-optimum design;
D O I：
10.1016/j.jspi.2007.05.024
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
The paper introduces DT-optimum designs that provide a specified balance between model discrimination and parameter estimation. An equivalence theorem is presented for the case of two models and extended to an arbitrary number of models and of combinations of parameters. A numerical example shows the properties of the procedure. The relationship with other design procedures for parameter estimation and model discrimination is discussed. (c) 2007 Elsevier B.V. All rights reserved.
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页码：56 / 64
页数：9
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