Observed Data Containing One Parameter and Chance Error: Evaluation of the Parameter Applying Pythagorean Mean

D. Chakrabarty
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引用次数: 6

Abstract

In order to evaluate the appropriate value of the parameter from observed data containing the parameter itself and chance error, one method has been developed for evaluation of the parameter as the existing statistical methods of estimation in such situation fail in finding out the appropriate value of the parameter. The method developed here is based on the Pythagorean means This paper describes the derivation of this method with one numerical application in evaluating the central tendency of the observed data on each of annual maximum and annual minimum of ambient air temperature at Guwahati.
包含单参数和机会误差的观测数据:应用毕达哥拉斯平均值求参数
为了从包含参数本身和机会误差的观测数据中评估参数的适当值,针对现有的统计估计方法在这种情况下无法找到参数的适当值,提出了一种评估参数的方法。本文描述了该方法的推导过程,并结合一个数值应用,对古瓦哈蒂每年最高和最低气温观测资料的集中趋势进行了评价。
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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