Earticle

초록

영어

The study focuses on the Repeated Measurements Design (RMD) which observations are periodically made for identical subjects within definite time periods. One of the purposes of this design is to monitor and keep track of replicated records within regular period over years. This paper also presents the classification models of RMD that is developed according to the number of factors in Between-Subject (BS) variates and Within-Subject (WS) variates. The types of models belong to each number of factors: One factor is 0BS 1WS. Two factors are 1BS 1WS and 0BS 2WS. Three factors are 1BS 2WS and 2BS 1WS. Lastly, the four factors include model of 2BS 2WS In addition, the study explains the generation mechanism of models for RMD using Generalizability Design (GD). GD is a useful method for practitioners to identify linear model of experimental design, since it generates a Venn diagram. Lastly, the research develops three types of 1BS 2WS RMDs with crossed factors and nested factors. Those are random models, mixed models and fixed models and they are presented by using Generalizability Design,(S:AxB)xC . Moreover, the example of applications and its implementation steps of models developed in the study are presented for better comprehension.

목차

Abstract
 1. 서론
 2. 반복측정 실험설계의 유형화 모형
  2.1 Subject의 구조와 인자의 개수에 의한 유형화
  2.2 블록 실험설계의 특징
 3. GD에 의한 RMD의 생성
  3.1 S×A 에 의한 0BS 1WS 생성
  3.2 (S:A) ×B에 의한 1BS 1WS 생성
  3.3 S×A×B에 의한 0BS 2WS의 생성
  3.4 (S:A)×B×C에 의한 1BS 2WS의 생성
  3.5 (S:A×B)×C×D에 의한 2BS 2WS의 생성
 4. (S:A×B)×C에 의한 2BS 1WS 확장모형
  4.1 모형개발
  4.2 적용분야
 5. 결론
 6. 참고문헌

키워드

RMD Classification Models GD 0BS 1WS 1BS 1WS 0BS 2WS 1BS 2WS 2BS 1WS 2BS 2WS Crossed and Nested Factors Random Models Mixed Models Implementation Steps

저자

• 최성운 [ Sung-Woon Choi | 경원대학교 산업공학과 ] 교신저자

참고문헌

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