问题如下图:
选项:
A.
B.
C.
D.
解释:
老师你好,能翻译一下D选项吗?还有,为什么B选项不对呢?
品职答疑小助手雍 · 2019年10月28日
这个题考的有点超纲了,对随机数抽样的方法考的这么细,没什么意思。原版书里并没有对Latin hypercube的介绍。就把它当成个结论,有个印象吧,但我觉得不会考到。
拉丁超立方抽样(英语:Latin hypercube sampling,缩写LHS)是一种从多元参数分布中近似随机抽样的方法,属于分层抽样技术,常用于计算机实验或蒙特卡洛积分等。
麦凯(McKay)等人于1979年提出了拉丁超立方抽样。不过此前Eglājs于1977年独立提出过相同的抽样技术。1981年,伊曼(Ronald L. Iman)等进一步发展了该方法。
在统计抽样中,拉丁方阵是指每行、每列仅包含一个样本的方阵。拉丁超立方则是拉丁方阵在多维中的推广,每个与轴垂直的超平面最多含有一个样本。
B不一定完全没有聚集的数的,毕竟完全随机,只要随机就有概率会连着出现接近的数。
NO.PZ2018122801000084问题如下 You are running a Monte Carlo simulation to pria portfolio of options. When generating ranm numbers for use in the simulation: The stratifiesampling methoeliminates extreme observations. A truly ranm number generator woulavoiclustereobservations. A congruentipseuranm number generator creates sequences converging to a constant value. The Latin hypercusampling methoensures thall strata are sufficiently well-represente is correct. 考点 : Monte Carlo Metho 这题啥意思啊,想考啥啊这是,也不咋懂。。
NO.PZ2018122801000084 问题如下 You are running a Monte Carlo simulation to pria portfolio of options. When generating ranm numbers for use in the simulation: The stratifiesampling methoeliminates extreme observations. A truly ranm number generator woulavoiclustereobservations. A congruentipseuranm number generator creates sequences converging to a constant value. The Latin hypercusampling methoensures thall strata are sufficiently well-represente is correct. 考点 : Monte Carlo Metho
NO.PZ2018122801000084 问题如下 You are running a Monte Carlo simulation to pria portfolio of options. When generating ranm numbers for use in the simulation: The stratifiesampling methoeliminates extreme observations. A truly ranm number generator woulavoiclustereobservations. A congruentipseuranm number generator creates sequences converging to a constant value. The Latin hypercusampling methoensures thall strata are sufficiently well-represente is correct. 考点 : Monte Carlo Metho
题目的abc是什么意思不懂