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过原点线性回归校准中的 X 值预测区间
When an interval estimate is required for the x-value, estimated from a calibration line, corresponding to a test value it is shown how the individual yT-observations can be used to improve the interval estimation in cases where the residual variance is constant, proportional to x or to x2.
利用伴随信息区分两个复合假设的大样本序贯检验
The problem studied is that of utilizing measured concomitant information in sequential trials for the comparison of two treatments. The analysis is based on the treatment 1 minus treatment 2 response difference y = y 1 — y 2 and the corresponding concomitant observation difference x = x 1 — x 2, where x and y are assumed to be distributed bivariate normally. A simple asymptotically valid test procedure and its performance in Monte Carlo experiments are described. It is…
利用伴随信息区分两个复合假设的大样本序贯检验
The problem studied is that of utilizing measured concomitant information in sequential trials for the comparison of two treatments. The analysis is based on the treatment 1 minus treatment 2 response difference y = y 1 — y 2 and the corresponding concomitant observation difference x = x 1 — x 2, where x and y are assumed to be distributed bivariate normally. A simple asymptotically valid test procedure and its performance in Monte Carlo experiments are described. It is…