This paper examines the reliability optimization design for front-axle with non-normal distribution parameters.

讨论了随机参数服从非正态分布前轴的可靠性优化设计问题。

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A cost estimation that assumes normal data distribution may not best reflect the real cost of a query when different parameters are used.

假定正常数据分布的开销评估可能并不能最好地反映查询使用不同参数时的实际开销。

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Moreover, when all stochastic parameters exist, the impact point isn't normal distribution.

另外，考虑所有随机参数存在时，弹着点并不是正态分布。

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