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

vvnsw · 2024年03月04日

关于B选项

NO.PZ2023060502000010

问题如下:

Analysts performing bootstrap:

选项:

A.

seek to create statistical inferences of population parameters from a single

sample.

B.

repeatedly draw samples of the same size, with replacement, from the original

population.

C.

must specify probability distributions for key risk factors that drive the

underlying random variables.

解释:

A is correct. Bootstrapping through random sampling generates the observed

variable from a random sampling with unknown population parameters. The analyst

does not know the true population distribution, but through sampling can

infer the population parameters from the randomly generated sample. B is incorrect

because, when performing bootstrap, the analyst repeatedly draws samples

from the original sample and not population, where each individual resample has

the same size as the original sample and each item drawn is replaced for the next

draw. C is incorrect because, when performing bootstrap, analysts simply use the

observed empirical distribution of the underlying variables. In a Monte Carlo

simulation, in contrast, the analyst would specify probability distributions for key

risk factors that drive the underlying variables.

B选项的original population改成什么才叫正确呢

1 个答案

品职助教_七七 · 2024年03月04日

嗨,努力学习的PZer你好:


bootstrap是从样本中再重新抽样。答案解析中对B选项正确的说法有说明,如下:

----------------------------------------------
加油吧,让我们一起遇见更好的自己!

  • 1

    回答
  • 0

    关注
  • 325

    浏览
相关问题

NO.PZ2023060502000010 问题如下 Analysts performing bootstrap: A.seek to create statisticinferences of population parameters from a singlesample. B.repeatey samples of the same size, with replacement, from the originalpopulation. C.must specify probability stributions for key risk factors thive theunrlying ranm variables. A is correct. Bootstrapping through ranm sampling generates the observeariable from a ranm sampling with unknown population parameters. The analystes not know the true population stribution, but through sampling caninfer the population parameters from the ranmly generatesample. B is incorrectbecause, when performing bootstrap, the analyst repeatey aws samplesfrom the originsample annot population, where eainviresample hasthe same size the originsample aneaitem awn is replacefor the nextaw. C is incorrebecause, when performing bootstrap, analysts simply use theobserveempiricstribution of the unrlying variables. In a Monte Carlosimulation, in contrast, the analyst woulspecify probability stributions for keyrisk factors thive the unrlying variables. 怎么理解A的a singlesample?

2024-08-08 14:43 1 · 回答

NO.PZ2023060502000010问题如下 Analysts performing bootstrap: A.seek to create statisticinferences of population parameters from a singlesample.B.repeatey samples of the same size, with replacement, from the originalpopulation.C.must specify probability stributions for key risk factors thive theunrlying ranm variables. A is correct. Bootstrapping through ranm sampling generates the observeariable from a ranm sampling with unknown population parameters. The analystes not know the true population stribution, but through sampling caninfer the population parameters from the ranmly generatesample. B is incorrectbecause, when performing bootstrap, the analyst repeatey aws samplesfrom the originsample annot population, where eainviresample hasthe same size the originsample aneaitem awn is replacefor the nextaw. C is incorrebecause, when performing bootstrap, analysts simply use theobserveempiricstribution of the unrlying variables. In a Monte Carlosimulation, in contrast, the analyst woulspecify probability stributions for keyrisk factors thive the unrlying variables. 如题,b错在哪里呀?

2023-12-26 23:37 1 · 回答

NO.PZ2023060502000010问题如下 Analysts performing bootstrap: A.seek to create statisticinferences of population parameters from a singlesample.B.repeatey samples of the same size, with replacement, from the originalpopulation.C.must specify probability stributions for key risk factors thive theunrlying ranm variables. A is correct. Bootstrapping through ranm sampling generates the observeariable from a ranm sampling with unknown population parameters. The analystes not know the true population stribution, but through sampling caninfer the population parameters from the ranmly generatesample. B is incorrectbecause, when performing bootstrap, the analyst repeatey aws samplesfrom the originsample annot population, where eainviresample hasthe same size the originsample aneaitem awn is replacefor the nextaw. C is incorrebecause, when performing bootstrap, analysts simply use theobserveempiricstribution of the unrlying variables. In a Monte Carlosimulation, in contrast, the analyst woulspecify probability stributions for keyrisk factors thive the unrlying variables. A和C,看不懂,是什么意思,可以翻译一下吗

2023-12-08 15:58 1 · 回答