代表性廠商與其數學期望值的深層意義 : 兼論算術平均在處理廠商間資料的系統偏誤

Abstract

本文指出，聯合分配密度函數設定是其對應代表性廠商意義的正確詮釋來源。本文發現共有三種在算術平均處理下嚴重的系統偏誤。假如經營管理分析能從涉及上面偏誤的方式，轉移至其對應正確的量化分析，將是人類社會及科學再進步的新里程碑。

In this paper, the author points out that setting of joint distribution density function is the correct origin for explaining meaning of its corresponding representative firm. He finds out three kinds of serious systematic biases occurred at arithmetic-mean calculations. If those analyses on business and management involving the biases mentioned above can be shifted to the corresponding correct quantitative ones, the new reprogression milestone of human society and science will be built.