基于统计抽样原理的典型室温分布比例确定方法研究
Method of determining typical room temperature distribution ratiobased on statistical sampling principle
摘要：
基于统计抽样原理,以河南濮阳某小区的室温采集系统为研究对象,选择不同的抽样方法,通过比例区间估计推断了小区室温分布,并比较了不同抽样比例下的推断结果。结果表明,分层随机抽样方式与分层系统抽样、整群抽样相比有明显优势,当室温抽样比例大于8%时,可满足各分项统计指标的要求。研究结果可为典型室温比例的确定提供参考和依据。
Abstract：
Based on the statistical sampling principle, taking the room temperature collection system of a community in Puyang, Henan Province as the research object, this paper selects different sampling methods, infers the room temperature distribution of the community through the proportional interval estimation, and compares the inferential results under different sampling ratios. The results show that the stratified random sampling has obvious advantages over the stratified systematic sampling and the cluster sampling. When the room temperature sampling ratio is greater than 8%, it can meet the requirements of various sub statistical indicators. The research results can provide reference and basis for determining the typical room temperature ratio.
Keywords:intelligent heating; room temperature distribution ratio; sampling; statistic; inference