The shape parameter in the weibull distribution affects the failure rate.

威布尔分布中的形状参数影响失效率。

The iteration algorithm to estimate shape parameter was first presented.

首次提出了一种迭代求取形状参数稳健估计的算法.

In The uniform B spline with shape parameter of seven order is given.

给出了带形状参数的七阶均匀B样条基函数,使七阶均匀B样条基函数是它的一个特例.

With the elevation of order, feasible range of the shape parameter value is extended.

随着阶数的升高，形状参数的取值范围将扩大。

In PS ALT, we obtain the Bayesian estimation of each parameter and marginal posterior density when the prior density of shape parameter is continuous using Laplace method under CE model.

在序加试验下，对于逆幂律模型，给出了参数的Bayes统计分析，并利用Laplace方法解决了分布的形状参数取为连续先验时各参数的Bayes估计和参数后验边际密度。

However, when the shape parameter is larger than 1, we only obtain that the minima is larger and maxima is smaller in stochastic order.

然而当形状参数大于1时，样本对应的极大值和极小值统计量有着相反的一般随机序。