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Hypothesis testing in the unrestricted and restricted parametric spaces of structural models

机译:结构模型的无限制和受限制参数空间中的假设检验

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摘要

Hypothesis for testing the equality of slopes in measurement error models, incorporating the additional assumption that the slopes lie in a closed interval is considered. Wald type statistics based on the maximum likelihood estimators are considered under both, restricted and unrestricted parametric spaces. Their asymptotic behaviors are analyzed through different simulation studies. The statistics performance is analyzed in terms of power. Analysis of the results suggests that the statistics considered under the restricted parametric space has shown a better performance since the tests based on these statistics are more powerful. An example illustrates the proposal.
机译:在测量误差模型中测试斜率是否相等的假设,考虑了斜率处于封闭区间的其他假设。在受限和非受限参数空间下均考虑了基于最大似然估计量的Wald类型统计量。通过不同的仿真研究分析了它们的渐近行为。统计性能根据功率进行分析。结果分析表明,在受限参数空间下考虑的统计数据表现出更好的性能,因为基于这些统计数据的测试功能更强大。一个例子说明了该建议。

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