類別資料在兩個經驗貝氏模型中的模型選取技術

Abstract

在本篇論文中，首先我們提出一個對於製程中的類別資料在兩個經驗貝氏模型中的模型選取技術。然後我們簡介可用於製程中類別資料的兩個有用的經驗貝氏模型。最後舉一個例子並透過模擬實驗來展示所提出的方法之表現。

In the paper, first of all, a model selection technique between two empirical Bayes models for categorical data in manufacturing is proposed. Next, two useful empirical Bayes models for categorical data in manufacturing are introduced. Finally, the performance of the proposed method is illustrated by an example through simulations.