• Title/Summary/Keyword: 생존자료

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Empirical Study on Survival Factors of Youth Start-Ups (청년창업기업의 생존요인에 관한 실증연구)

  • Choon Ju Park;Jae Bum Hong
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.6
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    • pp.27-40
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    • 2023
  • This study analyzes the factors affecting the survival of young start-up companies. A youth start-up company was defined as a company with a founder's age under 39. The study was based on evaluation data from 3,540 companies evaluated by the Technology Guarantee Fund to support youth start-up guarantees during the period from 2012 to 2015. In this study, independent variables were defined as founder characteristics, start-up environment, and start-up strategy, and entrepreneurship, knowledge level, and development capabilities were set as variables for start-up characteristics, competition conditions and comparative advantage with alternatives in the start-up environment, and item novelty, commercialization plan and financing plan were set as variables. For variable measurement, the evaluation index of the youth start-up evaluation model of the Technology Guarantee Fund was used. Management performance was defined as the survival of a company, and the survival of 12, 36, 60, and 84 months was measured based on the occurrence of insolvency registered by the Korea Technology Guarantee Fund. The Cox proportional risk model was used for hypothesis testing. As a result of the analysis, knowledge level and development capability were statistically significant in the characteristics of the founder, and the financing plan in the start-up strategy was statistically significant regardless of the survival period. Among the start-up strategies, the novelty of the item had a positive effect on survival after 36 months. Entrepreneurship was significant only in 12-month survival. The most important order for survival was identified in the order of financing plan, knowledge level, item novelty and development capability, of which the founder's knowledge level in the beginning and the funding plan in the second half had the greatest impact.

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The Effect of Characteristics of Entrepreneur on Venture Business Managerial Performance: By Separating the Duration of Firm's Survival (창업자 특성이 벤처기업의 경영성과에 미치는 영향: 기업의 생존기간을 구분하여)

  • Chun, Dongphil
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.13 no.4
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    • pp.1-12
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    • 2018
  • During few decades, Korean economy has been growing with heavy and manufacturing industries. However, the economy meets limitations of growth rate, and employment rate. The Korean government has been trying to overcome these limitations using development of venture businesses and re-organization of industrial ecosystem. These efforts make high survival rate of recent venture companies. There are previous researches about relation between characteristics of entrepreneur and managerial performance, there are several limitations. Firstly, most of papers were based on survey with specific region or industry. Secondly, related researches were carried out with unable to distinguish among firm's survival periods. This paper uses the '2017 Survey of Korea Venture Firms' data that is approved by the Korean government. This data includes whole industries and survival periods. The aim of this research is finding the effect of characteristics of entrepreneur on managerial performance of venture firms by different survival periods using data envelopment analysis (DEA). If entrepreneur has doctoral degree, the firm's managerial performance is lower than bachelor degree. In addition, over 10 years of working career, and joint-venture have positive effect on firm's performance. This paper can provide valuable information to venture related policy makers and investment decision makers.

A default-rate comparison of the construction and other industries using survival analysis method (생존분석기법을 이용한 건설업과 타 업종간의 부도율 비교 분석)

  • Park, Jin-Kyung;Oh, Kwang-Ho;Kim, Min-Soo
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.4
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    • pp.747-756
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    • 2010
  • With the recent recession, studies on the economy are actively being conducted throughout the industry. Based on the Small Business data registered in the Credit Guarantee Fund, we estimated the survival probability in the context of the survival analysis. We also analyzed the survival time for the construction and the other industries which are distinguished depending on the types of business and assets in the Small Business. The survival probability was estimated by using the life-table and the difference between the survival probabilities for the different types of business was described via the method of the Log-rank test and the Wilcoxon test. We found that the small business with over one billion asset has the highest survival probability and that with less than 1000 million asset showed the similar survival probability. In terms of types of business Wholesale and Retail trade industry and Services were relatively high in the survival probability than Light, Heavy, and the construction industries. Especially the construction industry showed the lowest survival probability. Most of the Small Business tend to increase in the hazard rate over time.

Predicting Survival of DLBCL Patients in Pathway-Based Microarray Analysis (DLBCL 환자의 대사경로 정보를 이용한 생존예측)

  • Lee, Kwang-Hyun;Lee, Sun-Ho
    • The Korean Journal of Applied Statistics
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    • v.23 no.4
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    • pp.705-713
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    • 2010
  • Predicting survival from microarray data is not easy due to the problem of high dimensionality of data and the existence of censored observations. Also the limitation of individual gene analysis causes the shift of focus to the level of gene sets with functionally related genes. For developing a survival prediction model based on pathway information, the methods for selecting a supergene using principal component analysis and testing its significance for each pathway are discussed. Besides, the performance of gene filtering is compared.

Smoothing Kaplan-Meier estimate using monotone support vector regression (단조 서포트벡터기계를 이용한 카플란-마이어 생존함수의 평활)

  • Hwang, Changha;Shim, Jooyong
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.6
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    • pp.1045-1054
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    • 2012
  • Support vector machine is known to be the very useful statistical method in classification and nonlinear function estimation. In this paper we propose a monotone support vector regression (SVR) for the estimation of monotonically decreasing function. The proposed monotone SVR is applied to smooth the Kaplan-Meier estimate of survival function. Experimental results are then presented which indicate the performance of the proposed monotone SVR using survival functions obtained by exponential distribution.

Effects of Soil Moisture on Survival of Larger Black Chafer (Holotrichia morosa Waterhouse) Eggs and Larvae (토양 수분함량이 큰검정풍뎅이의 난 및 유충의 생존에 미치는 영향)

  • 김기황
    • Korean journal of applied entomology
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    • v.30 no.1
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    • pp.37-41
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    • 1991
  • Laboratory experiments were conducted to examine the effects of soil moisture on the survival of the larger black chafer(Holotrichia morosa Waterhouse) eggs and larvae. Survival rates of eggs and 1st, 2nd, and 3rd instar larvae were all above 79% at soil moisture of 15% and 25% in sandy loam and clay loam soil, but decreased considerably at 5% and 35%. At these extreme moistures there seem to be differences in survival rates of eggs and larvae between soil textures. Egg development was delayed as soil moisture approached to the lower limit for survival. Older eggs were tolerant to the high moisture stress(33-36 % , clay loam soil), and duration of the stress affected egg development. Feeding of 3rd instar larvae was obviously suppressed at the higher level of soil moisture.

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Beta Processes and Survival Analysis (베타과정과 베이지안 생존분석)

  • Kim, Yongdai;Chae, Minwoo
    • The Korean Journal of Applied Statistics
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    • v.27 no.6
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    • pp.891-907
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    • 2014
  • This article is concerned with one of the most important prior distributions for Bayesian analysis of survival and event history data, called Beta processes, proposed in Hjort (1990). We review the current state of the art of beta processes and their application to survival analysis. Relevant methodological and practical areas of research that we touch on relate to constructions, posterior distributions, large-sample properties, Bayesian computations, and mixtures of Beta processes.

A Life Evaluation Method for Efficient Maintenance of Water Mains (상수관로의 효율적 유지관리를 위한 수명 평가 방법)

  • Choi, Chang-Log;Park, Su-Wan;Kim, Jeong-Hyun;Bae, Cheol-Ho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.271-275
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    • 2009
  • 본 연구에서는 상수관로의 잔존수명을 통계적 기법 중 하나인 비례위험모형(PHM)에 적용하여 평가하였다. 비례위험모형을 구축하기 위한 개별관로의 생존시간은 관로의 파손율이 한계파손율에 도달하는 시간으로 정의하였다. 즉, Park and Loganathan(2002)에서 제시한 GPBM을 적용하여 시간에 따른 개별관로의 파손율을 추정하고 추정된 파손율과 한계파손율의 상등관계를 통해 생존시간을 산정하였다. 또한, 본 연구대상관로에 대한 GPBM을 구축함에 있어, 매설시점에서 누적파손횟수를 0으로 한 파손기록을 입력자료에 추가하는 방법과 가중계수(WF)의 범위를 수정함으로써 기존의 GPBM을 보완하였다. 이로써 파손사건이 최소 1회 이상 기록된 강관 및 주철관에 대한 비례위험모형을 구축하였다. 이와 같이 수정된 방법론은 관로 파손사건 등의 자료의 축적이 미비한 국내 여건에서 비례위험모형 및 GPBM과 같은 통계적 모형을 구축할 때 유용할 것으로 사료된다. 본 연구대상관로의 비례위험모형에 포함된 유의한 공변수는 관종과 관경 그리고 길이이며 관종은 비례성 가정을 위배하여 시간종속형 변수로 모형화되었다. 최종 채택된 PHM모형을 통해 생존함수를 추정하였으며 추정된 생존함수를 이용하여 개별관로의 잔존수명 및 경제적 수명 그리고 각 수명에 대한 95% 신뢰구간을 산정하였다. 또한 개별관로의 경제적 수명에 영향을 미치는 공변수의 위험비율도 분석하였다. 분석결과 강관의 평균 경제적 수명은 약 25.1년이고 주철관은 약 21년으로 산정되었다. 또한 관종에 따른 경제적 수명에 도달할 상대적인 위험률은 전반적으로 주철관이 높으나 20년 이상 매설된 관로에서는 강관의 위험률이 높을 것으로 분석되었다. 관경과 길이는 크기에 비례하여 상대적 위험률도 증가하였다.

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Investigation of Tensile Strain Rate Effects on Composite Material for Aircraft Structural Survivability Assessment (항공기 구조생존성 평가를 위한 복합재의 변형률 속도 영향성 분석)

  • Seo, Bo-hwi
    • Journal of Aerospace System Engineering
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    • v.12 no.4
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    • pp.106-111
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    • 2018
  • Hydrodynamic ram phenomenon could be generated by external threats such as impact and blast in the aircraft. High strain rate deformation caused by the hydrodynamic ram phenomenon is one of the main factors to influence structural survivability. Mechanical properties of composite structure change rapidly under conditions of high strain rate. Therefore, it is necessary to experimentally investigate the influence of strain rates for aircraft structural survivability. In this paper, tensile tests of composite material were conducted for low and high strain rates to investigate the influence of the various strain rates. Tensile modulus increases more compared to tensile strength at high strain rate under hydrodynamic ram condition. Regression analysis was conducted to predict tensile modulus at various strain rates because it is one of the main damaging factors for composite structures under high strain rate conditions. Also, the mechanical properties of composite materials were acquired and analyzed under high strain rate conditions. It is hypothesized that the results from this study would be used for designing aircraft composite structures and evaluation considering structural survivability.

Discrepancies Between Public Perceptions and Epidemiological Facts Regarding Cancer Survival Rate in Korea : An Online Survey (암 생존율에 대한 한국 대중의 인식과 역학적 사실 사이에서 발생하는 불일치 : 온라인 설문을 중심으로)

  • Kim, Jae-Woo;Kang, Jung-Kyu;Kim, Sung-Ho
    • The Journal of the Korea Contents Association
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    • v.17 no.1
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    • pp.113-119
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    • 2017
  • This study aims at investigating which factors affect the public perceptions of the survival rate of cancer. To this end, this study compares the public perception for 5-year survival rates of five major cancer(stomach, colorectal, liver, breast, uterine cervix) and actual epidemiological fact thereof. Data was collected from 19th to 24th April 2016 through online cross-sectional survey on 354 people. Frequency analysis was conducted to understand the characteristics of the subjects, histograms were presented for the comparison with the epidemiological fact, and multiple regression analysis was conducted. The subjects tended to aware the survival rates of stomach cancer, colorectal cancer, breast cancer, and uterine cervix cancer as lower than they epidemiologically represented. Finally, the factors that substantially affect the perception of 5-year survival rates were revealed as the experience of diagnosed as cancer, the age, and whether the subject regularly involved in a workout.