Frequency
发表于 2025-3-30 08:13:34
https://doi.org/10.1007/978-1-4612-5449-2Extremum; Maxima; Properties; Random variable; Stochastischer Prozess; Zufallsfolge; statistics
athlete’s-foot
发表于 2025-3-30 15:19:56
Springer Series in Statisticshttp://image.papertrans.cn/f/image/320076.jpg
enhance
发表于 2025-3-30 19:27:33
Asymptotic Distributions of Extremesforms for the limiting distribution of maxima in sequences of i.i.d. random variables. In the derivation, the possible limiting distributions are identified with a class having a certain stability property—the so-called . distributions. It is further shown that this class consists precisely of the t
与野兽博斗者
发表于 2025-3-31 00:07:46
Exceedances of Levels and ,th Largest Maximatain limiting distributional results for the kth largest value among ξ.,…, ξ.. In particular, when the familiar assumption . holds (Equation (1.5.1)), it will be shown that the exceedances take on a Poisson character as . becomes large. This leads to the limiting distributions for the kth largest va
Obsequious
发表于 2025-3-31 04:21:39
http://reply.papertrans.cn/33/3201/320076/320076_55.png
法官
发表于 2025-3-31 08:17:27
Normal Sequencesre normal. Their importance is enhanced by the fact that their joint normal distributions are determined by the mean and the covariance structure of the sequence. In this chapter we investigate the extremal properties of stationary normal sequences. In particular covariance conditions will be obtain
不适当
发表于 2025-3-31 11:39:53
http://reply.papertrans.cn/33/3201/320076/320076_57.png
缓解
发表于 2025-3-31 14:35:46
http://reply.papertrans.cn/33/3201/320076/320076_58.png
Enzyme
发表于 2025-3-31 21:12:16
http://reply.papertrans.cn/33/3201/320076/320076_59.png