• Title/Summary/Keyword: regression factor

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Efficiency factor of high calcium Class F fly ash in concrete

  • Sata, V.;Khammathit, P.;Chindaprasirt, P.
    • Computers and Concrete
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    • v.8 no.5
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    • pp.583-595
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    • 2011
  • This paper studied the cement efficiency factor (k factor) of high calcium Class F fly ash. This k factor represents a unit of fly ash with efficiency equivalent to k unit of cement. The high calcium Class F fly ash was used to replace cement in concrete. The modified Bolomey's law with linear relationship was used for the analysis of the result of compressive strength, cement to water ratio (c/w) and fly ash to water ratio (f/w) by using the multi-linear regression to determine the k factor and other constants in the equations. The results of analysis were compared with the results from other researcher and showed that the k factor of high calcium Class F fly ash depends on the fineness of fly ash, replacement level and curing age. While the amount of CaO content in Class F fly ash not evident. Furthermore, necessary criteria and variables for the determination of the k factor including the use of the k factor in concrete mix design containing fly ash were proposed.

A Study on Major Factors on Patient Satisfaction of General Hospitals in Korea - Analysis of factors associated with in Health Service Evaluation Program by the Korean Government - (종합병원 입원환자와 외래환자의 만족도 요인 분석 - 의료기관 서비스평가 자료를 활용한 실증 분석 -)

  • Bae, Sung-Kwon;Nam, Eun-Woo;Park, Jae-Young
    • Korea Journal of Hospital Management
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    • v.10 no.2
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    • pp.26-44
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    • 2005
  • The purpose of this study was to investigate these major factors on patient satisfaction, and to examine the affecting level of major factors in. The subjects in this study was 70 hospitals that were surveyed the hospital evaluation program containing the survey of patient satisfaction by KHIDI(Korea Health Industry Development Institute) from 1997 to 1999. The collected data was analysed SPSS for Windows(Ver 10.0). On basically, frequency analysis, t-test, and ANOVA was performed and, for more analysis, correlation analysis, factor analysis, multiple regression analysis, logistic regression analysis was utilized. According to this study, the major factors of inpatient satisfaction are divided 3 types facility factor, manpower factor, and service factor. And the major factors of outpatient satisfaction are analyzed 5 types; facility factor related direct medical service, facility factor related indirect medical services, manpower factor, pharmacy factor, and facility factor related utilization convenience. The importance of this study lies in the identification of major factors on hospital patient satisfaction.

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Kasai Operation for Extrahepatic Biliary Atresia - Survival and Prognostic Factors (간외담도폐쇄에 대한 Kasai 술식 후 생존 결과 및 예후인자)

  • Yoon, Chan-Seok;Han, Seok-Joo;Park, Young-Nyun;Chung, Ki-Sup;Oh, Jung-Tak;Choi, Seung-Hoon
    • Advances in pediatric surgery
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    • v.12 no.2
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    • pp.202-212
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    • 2006
  • The prognostic factors for extrahepatic biliary atresia (EHBA) after Kasai portoenterostomy include the patient's age at portoenterostomy (age), size of bile duct in theporta hepatis (size), clearance of jaundice after operation (clearance) and the surgeon's experience. The aim of this study is to examine the most significant prognostic factor of EHBA after Kasai portoenterostomy. This retrospective study was done in 51 cases of EHBA that received Kasai portoenterostomy by one pediatric surgeon. For the statistical analysis, Kaplan-Meier method, Logrank test and Cox regression test were used. A p value of less than 0.05 was considered to be significant. Fifteen patients were regarded as dead in this study, including nine cases of liver transplantation. There was no significant difference of survival to age. The age is also not a significant risk factor for survival in this study (Cox Regression test; p = 0.63). There was no significant difference in survival in relation to the size of bile duct. However, bile duct size was a significant risk factor for survival (Cox Regression test; p = 0.002). There was a significant difference in relation to survival and clearance (Kaplan-Meier method; p = 0.02). The clearing was also a significant risk factor for survival (Cox Regression test; p = 0.001). The clearance of jaundice is the most significant prognostic factor of EHBA after Kasai portoenterostomy.

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An Investigation on Application of Experimental Design and Linear Regression Technique to Predict Pitting Potential of Stainless Steel

  • Jung, Kwang-Hu;Kim, Seong-Jong
    • Corrosion Science and Technology
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    • v.20 no.2
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    • pp.52-61
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    • 2021
  • This study using experimental design and linear regression technique was implemented in order to predict the pitting potential of stainless steel in marine environments, with the target materials being AL-6XN and STS 316L. The various variables (inputs) which affect stainless steel's pitting potential included the pitting resistance equivalent number (PRNE), temperature, pH, Cl- concentration, sulfate levels, and nitrate levels. Among them, significant factors affecting pitting potential were chosen through an experimental design method (screening design, full factor design, analysis of variance). The potentiodynamic polarization test was performed based on the experimental design, including significant factor levels. From these testing methods, a total 32 polarization curves were obtained, which were used as training data for the linear regression model. As a result of the model's validation, it showed an acceptable prediction performance, which was statistically significant within the 95% confidence level. The linear regression model based on the full factorial design and ANOVA also showed a high confidence level in the prediction of pitting potential. This study confirmed the possibility to predict the pitting potential of stainless steel according to various variables used with experimental linear regression design.

Influence Factors on Job Satisfaction Factor and Spatial Environments Evaluation of Fire-Fighting Officer - Focused on Fire Officials in Incheon Metropolitan City - (소방공무원의 직무만족요소에 의한 공간만족평가 영향에 관한 연구 - 인천지방 소방공무원을 중심으로 -)

  • Han, Myoung-Heum
    • Korean Institute of Interior Design Journal
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    • v.25 no.6
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    • pp.61-69
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    • 2016
  • A study on how fire officer's job satisfaction factors influence space satisfaction rates. This article will conduct regression analysis for the study on these three problems. 'What are the factors of fire officer's job satisfaction?', 'Does space satisfaction rates influence job satisfaction rates?', 'Which job satisfaction factor influence space satisfaction rate?' Therefore, variables were set based on the prior study, and before regression analysis was conducted, variables were purified through analysis on primary factor and reliability analysis, and hypothesis test was done via variable calculation. According to the prior study, factors that influence job satisfaction rates are as following; self-regulation of tasks, ethics and responsibility level, relationship with colleagues, job identity. And regression analysis showed that space satisfaction rates do not influence job satisfaction rates. The writer thinks that it's showing that Korean fire officers tend to prioritize colleague relationship and job identity over space improvements. And the factor that influence job satisfaction rates turned out to be the self-regulation of tasks, and the writer estimates that it's reflecting the hierarchical organization culture of current Korean fire officers. Therefore, future Korean fire station design plans need to consider a space plan that provides fire officer's private self-regulation of tasks.

The Relationships of Shopping Orientation, Price Perception, and Purchase Satisfaction of Internet Buying Agent Service Users (대행 인터넷 쇼핑몰 이용자의 쇼핑성향, 가격지각, 구매만족도에 관한 연구)

  • Kim, Sung-Hee;Park, Kwang-Hee
    • Fashion & Textile Research Journal
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    • v.12 no.4
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    • pp.450-458
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    • 2010
  • The purpose of this study was to investigate the effect of shopping orientation on price perception and the effect of shopping orientation and price perception on purchase satisfaction. This study administered a questionnaire survey to adults in their 20s and 30s who had once purchased fashion products in surrogate internet shopping malls. Among 327 questionnaires, 263 were collected through convenience sampling and 94 were collected from six internet communities. Data were analyzed by factor analyses and regression analyses. The results of this study are as follows. First, factor analysis of price perception revealed that two factors such as price reasonability and price reduction were extracted and the mean of price reduction was higher than one of price reasonability. Second, factor analysis of purchase satisfaction extracted four factors such as service quality, shopping convenience, product scarcity and product variety/price satisfaction. Mean comparisons showed that the mean of product scarcity was the highest among four factors. Third, regression analyses that recreational, economic, and convenience shopping orientation affected price reduction, a factor of price perception. Fourth, regression analyses showed that shopping orientations and the price perception had significant effects on the purchase satisfaction.

Effects of Technology and Innovation Management and Total Factor Productivity on the Economic Growth of China

  • LEE, Jung Wan;XUAN, Ye
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.2
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    • pp.63-73
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    • 2019
  • The paper aims to investigate relationships between technology and innovation management, total factor productivity and economic growth in China. By comparing the trends in total factor productivity growth of industrialized economies (i.e. OECD), this study intends to showcase the importance of total factor productivity progress in the Chinese economy. The study employs time series data of an annual basis for the period from 1977 to 2016 retrieved from the World Development Indicator. The study employs unit root test, cointegration test, fully modified least squares estimation method, canonical cointegrating regression and dynamic least squares estimation method to test the hypotheses. The results of the cointegrating regression analysis show that manufacturing growth leads to an increase of total factor productivity in the short-run in China. The findings of the study suggest that manufacturing (i.e. technology and product innovation) is positively related to the increase of total factor productivity in the short-run and total output growth in the long-run. The findings suggest that promoting technology and innovation management and supporting R&D subsidies may reduce the marginal cost of conducting R&D and increase the rate of technology and innovation management and R&D activity and therefore, the total factor productivity growth rate.

Estimation of Biological Action of Dioxins by Some Geometric Descriptors (기하학적 변수에 의한 다이옥신의 독성 예측)

  • Hwang, Inchul
    • Environmental Analysis Health and Toxicology
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    • v.14 no.3
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    • pp.103-111
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    • 1999
  • To effectively predict the lipophilicity, the aryl hydrocarbon receptor (AhR) affinity, and TEF (Toxic equivalency factor) of dioxins by geometrical descriptors, the multiple linear regression methods with the forward selection and backward elimination were employed with statistical validity. The lipophilicity, the Ah receptor binding affinity, and the toxic equivalency factor of dioxins could be predicted using some geometrical descriptors.

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A Note on Test for Model Adequacy in Nonlinear Regression

  • Kahng, Myung-Wook
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.3
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    • pp.689-694
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    • 2004
  • We investigate the test for model adequacy in nonlinear regression. We can expect the usual likelihood ratio statistic to be unaffected by any parametric- effect curvature; only the effect of intrinsic curvature needs to be considered. Multiplicative correction factor is derived for the limiting distribution of test statistic, which is a function of the intrinsic curvature arrays.

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Development of the residential satisfaction model by statistical analysis (통계적 기법을 이용한 농촌주택 거주 만족도 모형 개발)

  • 박미정;이정재;정남수
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 1999.10c
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    • pp.387-392
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    • 1999
  • In this paper, we attempted to eatablish questionnaire items for evaluation of residential satisfaction level by factor analysis, and the model was developed as a function of primary component of questionnaire items. For development of residential satisfaction model, items are selected by factor analysis adn regression coefficient is estimated by the multiple linear regression analysis.

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