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...
Find out how to avoid the 5 most common types of sampling errors to increase your research's credibility and potential for impact.
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...
If your market research project was a film, sampling error and non-sampling error would be the villains. Learn how to avoid or minimise them.
A non-sampling error is an error that results during data collection, causing the data to differ from the true values.
Extensive literature has shown that increasing the length of liver biopsy decreases the risk of sampling error. Except for cirrhosis, for which micro-fragments may be sufficient, a 25 mm long biopsy is considered an optimal specimen for accurate evaluation, though 15 mm is considered sufficient in...
-9, "sex" = 0.5) W <- model.matrix(~ sex, data = DF[!duplicated(DF$id), ]) # linear predictor for the survival model eta_t <- as.vector(W %*% gammas) # to simulate event times we use inverse transform sampling # (https://en.wikipedia.org/wiki/Inverse_transform_sampling). ...
deviation of\Delta R\left(\nu \right)due to noise fluctuations and\chi \equiv \frac{\partial \left\langle \Delta R\left(\nu \right)\right\rangle }{\partial \nu }is the sensitivity of the sensor, where\left\langle \cdot \right\rangleindicates a noise averaging. The detuning error Eq....
(h,i). Performance of existing markers was calculated based on both their established clinical cutoffs if applicable (indicated by ‘test’) and machine learning cutoffs (indicated by ‘model’). Error bars represent s.d.b,c,e,f,h,i,n = 50 independent experiments in the fivefold ...
An upper bound is obtained on the mean-square error involved when a real-valued non-band-limited nonstationary random process x(t) is approximated by the sampling expansion ∑n=−∞∞x(nT)sinπ(t−nT)/Tπ(t−nT)/T for some T > 0. When the process x(t) is band-limited over...