## 不同粗差检验方法的效果实验分析

Abstract  Under the same conditions, with a measured value for repeated measurements, due to a sudden change in subjective fault or external conditions, one or several measurement values are in great differences with other measurements. If we consider these measurements will on the measurement result distorted. This measurement error known for gross error, referred to as outliers. Contain gross errors in measured data will of measurement and assessment of results produced distorted, with the continuous improvement of the degree of automation of the data collection method and data processing, gross error is inevitable, in addition to reduce or even eliminate the error by human factors, also need to make the right to judge and deal with the measured data to a series of suspicious data, once found to contain gross errors of measurement value shall be the removed from the measurement results, and ultimately to get the correct measurement results. Therefore, how to correctly detect outliers, is the key to obtain the correct measurement results.

The study to test the measurement data samples in the crude difference of two representative methods based on: 1. Data detection method, 2.3S criterion, and the test method of effect, to cite examples to make a series of experimental analysis. Finally sums up the different situations of the application of different methods of gross error detection, and various methods of gross error detection of advantages and disadvantages, in order to improve the accuracy of the measurements, measurements provide convenient, make a contribution to the society and development of the motherland.
Key words： Gross error, test method, data detection method, example, experimental analysis

AbstractⅡ
1  绪论1
1.1 概述1
1.2  国内外研究现状 1
2  粗差的判别标准与检验方法
2.1 粗差的产生原因  3
2.2 粗差的判别标准  3
2.3 粗差的检验方法4
2.3.1 u检验法 4
2.3.2 3S准则  4
2.3.3  数据探测法 5
3.粗差检验方法的实验分析
3.1 3S准则 8
3.2 数据探测法 12
4  总结    18

1  绪  论
1.1  概述

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