In order to enhance its estimate performance , we improve the conditional median algorithm in this pa - per 为了改善条件中位数算法的估计性能,对该算法进行了改进。
Conditional median algorithm is one way to estimate storage failure rate , but it has poor estimated performance and is seldom used 条件中位数算法是求解贮存失效率的算法之一,但其估计性能不理想,实际应用并不多见。
Digital simulation shows that the improved algorithm ' s estimate mean and relative estimate er - ror are better than those of the original unimproved algorithm , so the improved algorithm can be widely used in storage reliability research 数字仿真结果显示,改进算法的估计均值和相对估计误差明显优于改进前的条件中位数算法,可广泛地应用于电子产品的贮存可靠性研究。
条件: condition; term; factor中位数: md,median; median and selection工资中位数: median wages假定中位数: assumed median流动中位数: running median年龄中位数: median age尿碘中位数: median of urinary iodine求中位数: median全年中位数: annual median市场中位数: market median市价中位数: middle market rate收入中位数: median earnings样本中位数: sample median真实中位数: true median中位数检验: median test中位数年龄: median age中位数平滑: median polish中位数平均: average of median中位数破译: median attack中位数速率: median speed中位数指数: median index中位数组: median class中项;中位数: median租金中位数: median rent组中位数: subgroumedian; subgroupmedian