首先利用非对称的LINEX损失函数对双指数分布族刻度参数进行了经验贝叶斯估计，并讨论了该估计的性质，给出了收敛速度。

First, we obtain the empirical Bayesian estimator of the scale parameter for the double exponential distribution based on LINEX loss function and the convergence rate of the estimate.

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本文讨论了在n维非对称的质量损失函数下，调整参数设计的可行性，求出了质量损失的最小解。

In the paper, Asymmetric quadric loss function is put forward under Normal assumption, adjustment parameter is defined, and its best value is calculated which minimizes the total quality lose.

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说明了在非对称的二次损失函数下，也可以采用田口玄一减小质量损失的思想：先进行稳健性设计减小波动，再进行灵敏度设计减小偏差。

It's proved that using the above asymmetric loss function, Taguchi's ideas of parameter design still works: first reduce the variance, and then reduce the bias.

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