Statistical Analysis Of A Class: Monte Carlo And Multiple Imputation Spreadsheet Methods For Estimation And Extrapolation

Laurel J. Fish, Dennis Halcoussis, G. Phillips
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引用次数: 2

Abstract

The Monte Carlo method and related multiple imputation methods are traditionally used in math, physics and science to estimate and analyze data and are now becoming standard tools in analyzing business and financial problems.  However, few sources explain the application of the Monte Carlo method for individuals and business professionals who are not immersed in the realm of mathematics or science.  This paper introduces these Monte Carlo methods for the non-mathematician and business student, providing examples where the Monte Carlo method is applied when only small samples are available.  Statistical analysis and statistically sound extrapolation of sample characteristics to the larger class population can be facilitated by applying Monte Carlo methods and the related concept of multiple imputation, which is also explained.  Appendices provide step-by-step instructions for using two popular spreadsheet add-ins to run Monte Carlo based analysis.
统计分析类:蒙特卡罗和多重推算电子表格方法的估计和外推
蒙特卡罗方法和相关的多重插值方法传统上用于数学,物理和科学中估计和分析数据,现在正在成为分析商业和金融问题的标准工具。然而,很少有来源解释蒙特卡罗方法的应用为个人和商业专业人士谁不是沉浸在数学或科学领域。本文为非数学家和商学院学生介绍了这些蒙特卡罗方法,并提供了蒙特卡罗方法在只有小样本可用时的应用示例。通过应用蒙特卡罗方法和相关的多重插值概念,可以方便地进行统计分析和统计合理的样本特征外推到更大的类总体,并解释了这一点。附录提供了使用两个流行的电子表格外接程序运行基于蒙特卡罗的分析的分步说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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