开发者:上海品职教育科技有限公司 隐私政策详情

应用版本:4.2.11(IOS)|3.2.5(安卓)APP下载

Danlei · 2021年11月17日

请问B为什么不对呀?

NO.PZ2018122701000028

问题如下:

According to extreme value theory (EVT), when examining distributions of losses exceeding a threshold value, which of the following is correct?

选项:

A.

To apply EVT, the underlying loss distribution must be either normal or lognormal.

B.

The threshold value is typically chosen near the estimated mean of the underlying loss distribution.

C.

The number of exceedances decreases as the threshold value decreases, which causes the reliability of the parameter estimates to increase.

D.

As the threshold value is increased, the distribution of exceedances converges to a generalized Pareto distribution.

解释:

D is correct.

考点 Extreme Value

解析 A key foundation of EVT is than as the threshold value is increased, the distribution of loss exceedances converges to a generalized Pareto distribution. Assuming the threshold is high enough, excess losses can be modeled using the Generalized Pareto distribution.

To apply EVT, the underlying loss distribution can be any of the commonly used distributions: normal, lognormal, t, etc., and will usually be unknown.

Choosing the threshold value near the estimated mean of the underlying loss distribution is arbitrary and this method is not typically employed.

As the threshold value is decreased, the number of exceedances increases.

请问B为什么不对呀?

1 个答案
已采纳答案

品职答疑小助手雍 · 2021年11月17日

同学你好,这个threshold是一个主动选择的限度,不是以均值为基准的。所以才有了选得太高或者太低需要tradeoff的情况。

  • 1

    回答
  • 0

    关注
  • 393

    浏览
相关问题

NO.PZ2018122701000028问题如下 Accorng to extreme value theory (EVT), when examining stributions of losses exceeng a thresholvalue, whiof the following is correct? To apply EVT, the unrlying loss stribution must either normor lognormal. The thresholvalue is typically chosen near the estimatemeof the unrlying loss stribution. The number of exceences creases the thresholvalue creases, whicauses the reliability of the parameter estimates to increase. the thresholvalue is increase the stribution of exceences converges to a generalizePareto stribution. is correct. 考点 : Extreme Value 解析 : A key fountion of EVT is ththe threshold value is increase the stribution of loss exceences converges to a generalizePareto stribution. Assuming the thresholis high enough, excess losses cmoleusing the GeneralizePareto stribution. To apply EVT, the unrlying loss stribution cany of the commonly usestributions: normal, lognormal, t, etc., and will usually unknown. Choosing the thresholvalue nethe estimated meof the unrlying loss stribution is arbitrary anthis methois not typically employe the thresholvalue is crease the number of exceences increases. C的表述具体错在哪了

2024-03-19 19:13 1 · 回答

NO.PZ2018122701000028 问题如下 Accorng to extreme value theory (EVT), when examining stributions of losses exceeng a thresholvalue, whiof the following is correct? To apply EVT, the unrlying loss stribution must either normor lognormal. The thresholvalue is typically chosen near the estimatemeof the unrlying loss stribution. The number of exceences creases the thresholvalue creases, whicauses the reliability of the parameter estimates to increase. the thresholvalue is increase the stribution of exceences converges to a generalizePareto stribution. is correct. 考点 : Extreme Value 解析 : A key fountion of EVT is ththe threshold value is increase the stribution of loss exceences converges to a generalizePareto stribution. Assuming the thresholis high enough, excess losses cmoleusing the GeneralizePareto stribution. To apply EVT, the unrlying loss stribution cany of the commonly usestributions: normal, lognormal, t, etc., and will usually unknown. Choosing the thresholvalue nethe estimated meof the unrlying loss stribution is arbitrary anthis methois not typically employe the thresholvalue is crease the number of exceences increases. 如题

2024-03-05 02:01 1 · 回答

NO.PZ2018122701000028 问题如下 Accorng to extreme value theory (EVT), when examining stributions of losses exceeng a thresholvalue, whiof the following is correct? To apply EVT, the unrlying loss stribution must either normor lognormal. The thresholvalue is typically chosen near the estimatemeof the unrlying loss stribution. The number of exceences creases the thresholvalue creases, whicauses the reliability of the parameter estimates to increase. the thresholvalue is increase the stribution of exceences converges to a generalizePareto stribution. is correct. 考点 : Extreme Value 解析 : A key fountion of EVT is ththe threshold value is increase the stribution of loss exceences converges to a generalizePareto stribution. Assuming the thresholis high enough, excess losses cmoleusing the GeneralizePareto stribution. To apply EVT, the unrlying loss stribution cany of the commonly usestributions: normal, lognormal, t, etc., and will usually unknown. Choosing the thresholvalue nethe estimated meof the unrlying loss stribution is arbitrary anthis methois not typically employe the thresholvalue is crease the number of exceences increases. the thresholvalue is increase the stribution of exceences converges to a generalizePareto stribution.这是本题的正确答案讲义里面好像没提到这句,讲义写的是,the thresholvalue is increase the stribution of exceences converges to a generalizeextreme value stribution.所以,这两句话都正确吗

2023-02-20 14:55 1 · 回答

NO.PZ2018122701000028

2022-01-09 20:44 1 · 回答