Statistical Simmulation of Definite Integral Based on Uppersum and Lowersum Random Partitions using Geogebra

Widiya Astuti Alam Sur
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Abstract

The aim of this paper is to present the statistical model simmulation about the definite integral concept based on upersum and lowersum random partitions by using geogebra. The random partitions of the uppersum and lowersum in determine the value of definite integral is used to find out the statsitical distribution of its generated random variable. Based on Kolmogorov Smirnov Test, the random variable data of subinterval partitions on uppersum and lowersum by using goegebra followed the certain statistical distribution. The random partitions of uppersum and lowersums followed  Burr 4 parameter, Log-Pearson 3, and  Pearson 6 distributions.
基于上下和随机分块的定积分的地理统计拟合法
本文的目的是利用geogebra给出基于上下随机划分的定积分概念的统计模型模拟。在确定定积分值时,利用上下限的随机划分来求出其生成的随机变量的静态分布。在Kolmogorov-Smirnov检验的基础上,利用goegebra方法得到的上下子区间分区的随机变量数据服从一定的统计分布。上下限的随机划分遵循Burr 4参数、Log Pearson 3和Pearson 6分布。
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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