Graphical methods for investigating the finite-sample properties of confidence regions

被引:4
|
作者
de Peretti, Christian [1 ,2 ]
Siani, Carole [3 ]
机构
[1] Univ Lyon, Lab Actuarial & Financial Sci, SAF, Inst Financial & Insurance Sci,ISFA Sch,EA2429, Lyon, France
[2] Univ Aix Marseille 2, Dept Econ, Res Ctr Econ Dev & Int Finance, DEFI,EA4265, F-13284 Marseille 07, France
[3] Univ Lyon 1, Dept Comp Sci, Res Lab Knowledge Engn, ERIC,EA3083, F-69622 Villeurbanne, France
关键词
BOOTSTRAP; INTERVALS; TESTS; DIFFERENCE; POWER; SIZE;
D O I
10.1016/j.csda.2009.09.012
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
No satisfactory method for measuring and presenting the performance of confidence regions can be found in the literature. Techniques for measuring the effectiveness of confidence regions and for the graphical display of simulation evidence regarding the coverage and effectiveness of confidence regions are developed and illustrated. Three types of figures are discussed: called coverage plots, coverage discrepancy plots, and coverage effectiveness curves, which makes it possible to show the "genuine" effectiveness, rather than a spurious nominal effectiveness. These figures are used to illustrate the finite sample properties of autoregressive parameter confidence regions in the context of AR( 1) processes. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:262 / 271
页数:10
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