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The size and power of analytical amd bootstrap corrections to score tests in regression models
Authors:Francisco Cribari-neto  Spyeos G Zarkos
Affiliation:1. Departmento de Estatistica , Universidade Federal de Pemambuco Cidade Universitaria , 50740-540, Brazil E-mail: cribari@de.ufpe.br;2. Strategic Planning &3. Research Division , National bank of greece , athens, 102 32, Greece E-mail: azarkos@ath.forthnot.gr
Abstract:The paper invsetigation the size and power of analyticaland computer-based (bootstrap) 8nite=saniple adjustments to score tests in a class of regression models. Our results show that score tests can display substantial size distortions and that small-sample adjustments can be quite effective. Bootstrap corrections typically perform slightly better than analytical ones
Keywords:Bartlett correction  Edgeworth expansion  nonlinear models
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