| 1. | Standard practice for probability sampling of materials
材料的概率取样的标准操作规程 |
| 2. | Practice for probability sampling of materials
材料概率取样惯例 |
| 3. | Practice for acceptance of evidence based on the results of probability sampling
根据概率取样结果进行数据验收的惯例 |
| 4. | Standard practice for acceptance of evidence based on the results of probability sampling
根据概率取样结果所得数据验收的标准实施规范 |
| 5. | Standard guide for using probability sampling methods in studies of indoor air quality in buildings
建筑物中室内空气质量研究用概率取样法的标准导则 |
| 6. | Thirdly , in order to improve the deficiency of these two algorithms , the paper presents an improved algorithm
针对以上两种方法的缺陷，本文提出了一种新的按概率取样本的改进算法。 |
| 7. | A choice has also to be made between probabilistic ~ techniques ( such as random or stratified ~ ) and non - probabilistic ~ techniques ( such as judgmental , quota or convenience ~ )
另外要在两种取样方法中进行选择，是选概率取样法（例如随机或分层取样）还是选非概率取样法（例如判断取样、定额取样或方便取样） 。 |
| 8. | Secondly , the paper shows the results from a great number of experiments of the weight algorithm that chooses samples by probability . the experiments point out that weight algorithm has a better generalization ability than the no weight algorithm . but a single weight algorithm is unstable and it needs tremendous time of calculation to combine many single algorithms into a stable one
其次对按概率取样本的有权值算法进行了大量实验，实验结果显示出按概率选择样本权值算法比无权值算法的总体性能更为优秀，但其个体算法的不稳定性以及为了获得稳定结果所需要的巨大计算时间使其不可能成为一种能广泛应用的算法。 |
