2008Electronic Product Reliability and Environmental TestingRequires access

Research on the Data Sampling Method of NC Machine's Reliability

XI An-min

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Abstract

The data sampling method of NC machine's reliability is studied. Based on the calculations in simple random sampling,stratified random sampling and two-stage sampling,it is shown that when the sampling size of two-stage sampling is 1/2 that of simple random sampling,the mean square error is much smaller than that of simple random sampling. At the same time,the mean square error of two-stage sampling is also much smaller than that of stratified random sampling when their sampling sizes are equal. It is concluded that the two-stage sampling improves the precision and reliability of data sampling. And it can save the cost of sampling.

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What this paper is about

The data sampling method of NC machine's reliability is studied. Based on the calculations in simple random sampling,stratified random sampling and two-stage sampling,it is shown that when the sampling size of two-stage sampling is 1/2 that of simple random sampling,the mean square error is much smaller than that of simple random sampling. At the same time,the mean square error of two-stage sampling is also much smaller than that of stratified random sampling when their sampling sizes are equal. It is concluded that the two-stage sampling improves the precision and reliability of data sampling. And it can save the cost of sampling.

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Available abstract

The data sampling method of NC machine's reliability is studied. Based on the calculations in simple random sampling,stratified random sampling and two-stage sampling,it is shown that when the sampling size of two-stage sampling is 1/2 that of simple random sampling,the mean square error is much smaller than that of simple random sampling. At the same time,the mean square error of two-stage sampling is also much smaller than that of stratified random sampling when their sampling sizes are equal. It is concluded that the two-stage sampling improves the precision and reliability of data sampling. And it can save the cost of sampling.

Key concepts: Stratified sampling, Simple random sample, Sampling (signal processing), Slice sampling, Sampling design, Statistics, Reliability (semiconductor), Systematic sampling

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