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351.
Sample size determination for quality control process using a multiple components tolerance interval
Feng-Shou Ko 《统计学通讯:理论与方法》2013,42(12):3668-3674
ABSTRACTIn the past, a tolerance interval was used for the statistical quality control process on raw materials and/or the final product. In the traditional concept of the tolerance interval, the variance from the measurements is a single component. However, we can find examples about several components that could vary in their measurements, so an approximate method must be found to modify the traditional tolerance interval. Now we employ a tolerance interval considering multiple components in the variance from the measurements to deal with quality control process. In our paper, the proposed method is used to solve the sample size determination for a two-sided tolerance interval approach considering multiple components on the variance of measurements. 相似文献
352.
Arijit Chaudhuri 《统计学通讯:理论与方法》2013,42(7):1805-1810
Presented are formulae for an unbiased estimator of a finite population total and an unbiased variance estimator for it when samples are taken by usual procedures in the first two stages with varying probabilities but the third stage units are sampled for economy and convenience in a non-standard way from the pool of all sampled second stage units rather than independently from each of the latter separately containing the former. 相似文献
353.
Toshio Honda 《统计学通讯:理论与方法》2013,42(8):2001-2020
We consider estimation of the linear part in a partially linear model for absolutely regular observations. The estimator using random weights are proposed and the asymptotic normality of the estimator is established without compact support assumption. 相似文献
354.
At least two computer program packages, SPSS and STRATA, use simulated Bernoulli trials to draw (without replacement) a random sample of records from a finite population of records. Therefore, the size of the sample is a random variable. Two estimators of a population total under this sampling procedure are compared with the usual estimator under simple random sampling. Conditions under which the Bernoulli sampling estimators have almost the same mean squared error as the simple random-sample estimator are illustrated. 相似文献
355.
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357.
针对筒子纱分拣机器人对作业目标堆叠时识别不准确、抓取位置不稳定的问题,课题组提出了一种堆叠筒子纱的机器人无序分拣方法。构建了具有3D视觉感知的筒子纱分拣机器人系统,利用Kinect V2相机获取堆叠筒子纱的图像信息,对采集到的筒子纱点云进行处理;通过M估计抽样一致性算法(MSAC)和直通滤波算法对原始点云进行裁剪,采用改进E R分割算法和ICP算法完成点云的分割和配准,得到筒子纱的位姿信息;最后使用机器人进行抓取实验。实验结果表明:该方法能够实现对堆叠场景下的作业目标的识别定位,系统的抓取成功率达到86%,可以满足筒子纱分拣的实际生产需求。 相似文献
358.
《Journal of Statistical Computation and Simulation》2012,82(12):1081-1089
Selecting the number of observations from each stratum is a primary decision in stratified random sampling design. Typically, allocation schemes aim to minimize or bound the variance associated with estimating some overall population parameter, subject to a limitation on sampling resources. This paper examines the impact of further constraints on allocations for stratified sampling; it was motivated by an application requiring all stratum means to be estimated with equal precision. Simple procedures for analyzing trade-offs between equal-precision allocations and those optimizing total cost or precision of overall population estimates are presented. The effect of equal-precision allocation is illustrated within the context of an anthropological study of eight strata defined by villages. In this example, the equal-precision allocation greatly improves the precision of estimating the stratum-specific means over the customary proportional allocation, with only mild degradation in the precision used to estimate the population mean. 相似文献
359.
《Journal of Statistical Computation and Simulation》2012,82(12):1065-1078
The E distribution is the distribution of the empirical log-likelihood ratio for the mean of a multivariate normal distribution. It is the equivalent of Hotelling’s T 2 distribution for the empirical likelihood and is used to calibrate the empirical log-likelihood ratio for finite sample situations. We discuss various aspects of the E distribution, in particular, the estimation of critical values of the E distribution using quantiles of large random samples. We also present tables of estimated critical values for E distributions with 1 to 3 first degrees of freedom. 相似文献
360.
Yougui Wu 《统计学通讯:理论与方法》2020,49(6):1446-1461
AbstractIn diagnostic trials, clustered data are obtained when several subunits of the same patient are observed. Intracluster correlations need to be taken into account when analyzing such clustered data. A nonparametric method has been proposed by Obuchowski (1997) to estimate the Receiver Operating Characteristic curve area (AUC) for such clustered data. However, Obuchowski’s estimator is not efficient as it gives equal weight to all pairwise rankings within and between cluster. In this paper, we propose a more efficient nonparametric AUC estimator with two sets of optimal weights. Simulation results show that the loss of efficiency of Obuchowski’s estimator for a single AUC or the AUC difference can be substantial when there is a moderate intracluster test correlation and the cluster size is large. The efficiency gain of our weighted AUC estimator for a single AUC or the AUC difference is further illustrated using the data from a study of screening tests for neonatal hearing. 相似文献