Social survey data sets of large numbers of individual respondents' opinions are generally viewed as supporting reliable inferences of relationships between the prevalence of noise-induced annoyance and noise exposure levels. The current analyses identify conditions under which noise dose distributions and acoustic measurement uncertainty lead to appreciable mis-estimation of the slopes of empirical dose-response relationships with respect to those of true slopes in exposure ranges of interest. These findings were revealed by Monte Carlo methods for creating simulated data sets with varying exposure ranges and degrees of dose uncertainty. These simulated data sets support quantitative comparisons of dose-response relationships between empirical outcomes and known (assumed) relationships. The effect of noise dose uncertainty is appreciable for dose uncertainties with standard deviations greater than about 2 decibels. Limited dose ranges as well as haystack-shaped (non-uniform) dose distributions magnify the biasing effect of dose uncertainty on the slopes of observed relationships. Narrow exposure ranges can also create a false asymptotic behavior in the relationship. These phenomena are well documented in the non-acoustic literature.

中文翻译：

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检查剂量不确定性和剂量分布对社区噪声态度调查结果的影响

大量个人受访者意见的社会调查数据集通常被视为支持对噪声引起的烦恼的普遍性与噪声暴露水平之间关系的可靠推断。当前的分析确定了在哪些条件下噪声剂量分布和声学测量不确定性导致经验剂量-反应关系的斜率相对于感兴趣的暴露范围内的真实斜率的斜率的明显错误估计。蒙特卡罗方法揭示了这些发现，用于创建具有不同暴露范围和剂量不确定性程度的模拟数据集。这些模拟数据集支持对经验结果和已知（假设）关系之间的剂量反应关系进行定量比较。对于标准偏差大于约 2 分贝的剂量不确定性，噪声剂量不确定性的影响是可观的。有限的剂量范围以及大海捞针状（非均匀）剂量分布放大了剂量不确定性对观察到的关系斜率的偏差影响。狭窄的曝光范围也会在关系中产生虚假的渐近行为。这些现象在非声学文献中有详细记载。