Fundamental concepts of the bootstrap for statistical analysis of mechanical systems
Fundamental concepts of the bootstrap for statistical analysis of mechanical systems
复制标题
机械系统统计分析引导程序的基本概念
DOI：
10.1111/j.1747-1567.1998.tb01284.x
复制
发表时间：
1998
影响因子：
1.6
通讯作者：
N. Hunter
中科院分区：
文献类型：
--
作者：
T. Paez;N. Hunter
本文提出了bootstrap的基本思想。自举法是一种实验性统计技术，能够对非高斯数据和非高斯或非高斯相关数据的度量进行统计分析。一个简单的数值例子演示了一些基本的自举操作，一个使用实验获得的数据的例子演示了一些基本的，但实用的统计分析。
ConclusionsThe fundamental ideas upon which the bootstrap is based were developed in this paper. The bootstrap is an experimental statistical technique, capable of performing statistical analyses on data that are non-Gaussian and on measures of the data that are not Gaussian or Gaussian-related. A simple numerical example was used to demonstrate some elementary bootstrap operations, and an example that used experimentally obtained data demonstrated some elementary, yet practical, statistical analyses.