1) strong dependent Gaussian sequence
强相依高斯序列
2) weakly dependent gaussian sequence
弱相依高斯序列
3) dependent sequence
相依序列
1.
Meanwhile under some restricted conditions,extremes with random sample size for dependent sequences are also obtained.
把极值类型定理中的ｎ次方进一步推广成Ｕ（ｎ）次方，其中Ｕ（ｎ）是正则变化函数，它的指数大于零；同时通过一定的限制，得到相依序列随机样本的极值。
4) correlated Gaussian series
相关高斯序列
1.
Considering that the correlated r andom series needed in practice are finite , and using modified algorithm, th e simulation of correlated Gaussian series with any.
利用实际中所需相关序列的有限性 ,通过改进算法 ,快速地实现了对任意长度相关高斯序列的仿真。
5) strong dependent non-stationary sequences
强相依非平稳序列
6) weakly dependent sequence
弱相依序列
补充资料：椐椐强强
1.相随貌。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条