Find out how to avoid the 5 most common types of sampling errors to increase your research's credibility and potential for impact.
non sampling 非抽样的 sampling n. 取样,抽样;抽样检验,抽样调查 error n.[C] 1. 错误,谬误,差错 2. 错误状态;犯错误,出错 3. 谬见,错误想法;(基督教科学派所宣称的)意识错误 4. 过失;罪过;不正行为 5. 误差 6.(棒球运动等中的)失 Error 误差,错(=ERR)由计算或量测出来的值与理论上正确的...
non-sampling error释义 非抽样误差 实用场景例句 全部 In certain situations, the non - sampling error even surpasses the sampling error to the sampling result influence. 在某些场合, 非 抽样误差对抽样结果的影响甚至超过抽样误差. 互联网 释义 实用场景例句...
Company XYZ will also want to avoidnon-sampling errors. Non-sampling errors are errors that result during data collection and cause the data to differ from the true values. Non-sampling errors are caused by human error, such as a mistake made in the survey process. If one group of consumer...
sampling-error n. 1. 采样误差(所抽样本不具备代表性)a situation in which a set of results or figures does not show a true situation, because the group of people or things it was based on was not typical of a wider group 例句
Sampling error, in statistics, the difference between a true population parameter and an estimate of the parameter generated from a sample. Sampling error happens because samples contain only a fraction of values in a population and are thus not perfectl
bioop.com|基于91个网页 2. 非取样误差 非取样误差(non-sampling error)对取样调查所得的估计量可能产生很大影响,而且这类误差一旦出现就难以发现和消除,因… course.jnu.edu.cn:8088|基于3个网页 3. 非抽差 抽差(Sampling Error)非抽差(Non-sampling Error)量差(Measurement Error) 回差(Non-response Error...
A non-sampling error is an error that results during data collection, causing the data to differ from the true values.
A sampling error is an error that happens when a sample that represents the whole population of data is not chosen by the analyst. Read on for more.
Overlooking errorObserver error is ubiquitous in vegetation sampling. Observer error, along with other types of related nonsampling error, may result in species richness being artificially underestimated (i.e., false-negative errors) or artificially overestimated (i.e., false-positive errors). Because...