기술발전에 따른 생존모형 선정

• 영문명: Selection of Survival Models for Technological Development
• 발행기관: 한국산업경영시스템학회
• 저자명: 오현승(H S Oh) 김종수(C S Kim) 이한교(H K Rhee) 임동순(D S Yim) 조진형(J H Cho)
• 간행물 정보: 『산업경영시스템학회지』제32권 제4호, 184~191쪽, 전체 8쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2009.12.30

영문 초록

In a technological driven environment, a depreciation estimate which is based on traditional like analysis results in a decelerated rate of capital recovery This time pattern of technological growths models needs to be incorporated into life analysis framework especially in those industries experiencing fast technological changes The approximation technique for calculating the variance can be applied to the six growth models that were selected by the degree of skewness and the transformation of the functions For the Pearl growth model, the Gompertz growth model, and the Weibull growth model, the errors have zero mean and a constant variance over time However, transformed models like the linearized Fisher-P교 model, the linearized Gompertz growth model, and the linearized Weibull growth model have increasing variance from zero to that point at which inflection occurs It can be recommended that if the variance of error over time is increasing, than a transformation of observed data is appropriate

키워드

Life analysis Technological Growth Models