1) S-convex order
S阶凸序
2) s-convex ordering
s-凸序
1.
It is showed that it increases,respectively,in the sense of expectation ordering,usual stochastic ordering,increase and convex(concave) ordering,increasing and log-convex(concave) ordering,s-convex ordering and lower length-biased ordering if its mixture parameter increases according to the corresponding ordering.
本文讨论服从混合Poisson分布的随机变量,证明了当混合参数依期望序,通常意义的随机序,增凸(凹)序,增的对数凸(凹)序,s-凸序或者下端有偏序增加时,变量本身也依相应的随机序增加。
3) Three-convex order
3阶凸序
4) S-convexity and K-convexity
S-凸和K-凸
5) s-orlicz convex set
s-orlicz凸集
6) S-convex function
S-凸函数
补充资料:凸凸
1.高出貌。
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参考词条