• Title/Summary/Keyword: logistic equation

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Estimating design floods for ungauged basins in the geum-river basin through regional flood frequency analysis using L-moments method (L-모멘트법을 이용한 지역홍수빈도분석을 통한 금강유역 미계측 유역의 설계홍수량 산정)

  • Lee, Jin-Young;Park, Dong-Hyeok;Shin, Ji-Yae;Kim, Tae-Woong
    • Journal of Korea Water Resources Association
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    • v.49 no.8
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    • pp.645-656
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    • 2016
  • The study performed a regional flood frequency analysis and proposed a regression equation to estimate design floods corresponding to return periods for ungauged basins in Geum-river basin. Five preliminary tests were employed to investigate hydrological independence and homogeneity of streamflow data, i.e. the lag-one autocorrelation test, time homogeneity test, Grubbs-Beck outlier test, discordancy measure test ($D_i$), and regional homogeneity measure (H). The test results showed that streamflow data were time-independent, discordant and homogeneous within the basin. Using five probability distributions (generalized extreme value (GEV), three-parameter log-normal (LN-III), Pearson type 3 (P-III), generalized logistic (GLO), generalized Pareto (GPA)), comparative regional flood frequency analyses were carried out for the region. Based on the L-moment ratio diagram, average weighted distance (AWD) and goodness-of-fit statistics ($Z^{DIST}$), the GLO distribution was selected as the best fit model for Geum-river basin. Using the GLO, a regression equation was developed for estimating regional design floods, and validated by comparing the estimated and observed streamflows at the Ganggyeong station.

A Study on the Enterprise Value Analysis using AHP and Logit Regressions (AHP와 로짓회귀분석을 활용한 기업가치 분석방법)

  • Gu, Seung-Hwan;Shin, Tack-Hyun;Yuldashev, Zafar
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.9
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    • pp.5810-5818
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    • 2015
  • The dissertation presents the portfolio construction method using the score sheet so that general investors can utilize it easily. This study draws the significant variables to contribute the enterprise value and suggests the combined models by applying the single methodology, which private investors can easily utilize. The results of the research can be classified into 2 areas. Firstly, the significantly affecting variables were selected for analyzing the enterprise value. The variables and the method for the enterprise value analysis were studied from the existing researches to choose the optimal variables. The variables were identified by using AHP method and the structure equation method from the investigation of the previous researches. And the critical variables were added extracted from the common denominator of variables which the 3 grue investors used for their investment. The final variables identified are dividend yield, PER, PBR, PCR, EV/EBITDA, ROE, net income, sales growth rate, net current asset, debt ratio, current ratio, rate of operating profits, ratio of operating profit to net sales, ratio of net income to net sales, net profit to total assets, EPS growth rate, inventory turnover ratio, and receivables turnover. Second, the new methodologies for forecasting enterprise value modifying the existing methods were developed. The result of the Logistic regression analysis for forecasting showed that the equation could not be suitable as the accuracy with 91.98%.

Model construction with core questions from a course evaluation survey (핵심 문항들을 활용한 모델링-강의 평가 자료를 활용한 사례연구)

  • Pak, Ro-Jin
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.6
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    • pp.1075-1083
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    • 2009
  • The scientific research method went through construction of hypothesis and collection of data by experiment or observation and abstracting the hypothesis based on the experience which uses the data. The statistical methodology plays an important role in this process. The method which acquires a data becomes an initial process of abstraction and a survey research using structured questionnaires is a basic tool. After the data is acquired, the high-class statistical techniques such as the regression analysis and the linear structural equation model are used to abstract a hypothesis. By the way, from time to time the concepts which have become abstractive do not help us to understand an actual phenomena, rather it is need to extract some knowledge from questions themselves. In this article, we review the well known statistical methods providing the ways of finding core questions which possibly answer a researcher wants to know. We deal with course evaluation data as an example and try to set up the strategy for improving course evaluation.

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A Study on Global Strategy for Korean International Express Companies (우리나라 국제특송업체(國際特送業體)의 글로벌 전략(戰略)에 관한 연구(硏究))

  • Ahn, Ki-Myung;Kim, Myung-Jae;Kwon, Oh-Sung
    • Journal of Navigation and Port Research
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    • v.35 no.3
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    • pp.271-279
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    • 2011
  • This study aims at searching the global strategy which can raise the competitive power of IEC(International Express Companies) in Korea analyzing and coping with the international express companies and global factor of promotion. The global strategy varialbe for IEC- invigorating in korea is composed with nine variables which is M&A strategy, Intergrated logistics enterprise strategy, Globalized alliance strategy, SCM stratege, the third party operating strategy, Total logistic operating system strategy, Differentiated service providing strategy, Phased market entry strategy, Core capability strengthen strategy. According to the result of study, the global strategy influence for the nature of international express company's and increasing competitiveness is depend on specialization strategy and using scale of economy for globalization strategy.

Development of a Nutrition Quotient (NQ) equation modeling for children and the evaluation of its construct validity (어린이 영양지수 (NQ, Nutrition Quotient) 모형 개발과 구성타당도 평가)

  • Kim, Hye-Young;Kwon, Se-Hyug;Lee, Jung-Sug;Choi, Young-Sun;Chung, Hae-Rang;Kwak, Tong-Kyung;Park, Ju-Yeon;Kang, Myung-Hee
    • Journal of Nutrition and Health
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    • v.45 no.4
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    • pp.390-399
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    • 2012
  • The objective of this study was to develop and evaluate the construct validity of a Nutrition Quotient (NQ) for children. In a previous report (Kang, et al., 2012), the food behavior checklist for children's NQ, consisting of 19 items, was grouped into a 5-factor structure according to the exploratory factor analysis: balance, diversity, moderation, regularity, and practice. In this study, the construct validity of the NQ was assessed using a confirmatory factor analysis. Elementary school students (n = 1,393) from six large cities completed the NQ test. Indicator tests suggested an adequate model fit (goodness of fit index = 0.9613; adjusted GFI = 0.95; standardized root mean square residual = 0.0464; chi-square test statistics of < 0.001 p-value, 82.1), and item loadings were significant for all subscales (p < 0.05). The standardized path coefficients were used as the weights of the items. The NQ and the 5 factor scores of the student were calculated by the obtained weights of the questionnaire items. Logistic regression was applied to find the significant factors in order to affect a specific nutrient status. The receiver operation characteristic curve analyses were performed in order to find diagnostic cut-off points of the five factors. The food behavior checklist for children's NQ would be a handy and suitable instrument for evaluating dietary behaviors of Korean children.

The Serverith Leverls and Patterns of Perimenstrual symptoms among Korean Women in relation to their Ages (여성의 연령과월경 전후기 증상 정도 및 유형에 관한 연구)

  • Park, Young-Joo
    • Women's Health Nursing
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    • v.5 no.2
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    • pp.162-175
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    • 1999
  • The study was intended to investigate and explore the preimenstrual symptoms, their severity levels, their patterns and the relationships of the age to those symptoms and patterns among Korean women. The data were collected from 844 women in one highschool, one Nursing college and one Korea National Open University in Seoul, from Nov, 1997 to Jun. 1998. The instruments were the Menstrual Symptoms Questionnaire developed by Chesney and the Center for Epidemiologic studies Depression scale developed by Radloff. the data were analyzed by descriptive statistics, ANOVA, Duncan's multiple comparison test, $X^2$-test, simple regression analysis and logistic regression analysis using pc-SAS program. The results were as follows ; 1. Korean women had more symptoms of abdominal bloating, fatigue, abdominal discomfort and backache in perimenstrual period. There Teenages had more symptoms of depression and uterine cramps in the day before or the first day of menstruation. Women in their twenties had more symptoms of abdominal pain or abdominal discomfort, backache, abdominal bloating and the sensitiveness /discomforts in the lower back, abdomen and inner part of thighs. women in their thirties had more symptoms of abdominal bloating, fatigue, tension and nervousness before the menstruation, abdominal discomfort and backpain in the first day of menstruation. Women in their forties had more symptoms of backache, breast discomforts, abdominal pain and discomforts. 2. The severity levels of the perimenstrual symptoms showed the highest score(mean=2.73) in twenties and the lowest score)mean=1.96) in forties The perimenstrual symptom patterns were prevailed the spasmodic menstrual symptoms in teenage and twenties and the congestive menstrual symptoms in thirties and forties. The age was a determinant of perimenstrual symptom patterns and the precipitative equation was log[p(age)/(1-p(age)]=2.7356-0.0982 age. 3. The relationship of the age to perimenstrual symptoms was vanished or lessened, controlling for parity as a test factor. this finding supports the notion that parity is an extraneous variable.

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Validity of Serum Cystatin C for Prediecting Obesity Nephropathy

  • Asefy, Zahra;Amirrasouli, Hooshang;Khoyi, Masood;Hashemi, Vida
    • Interdisciplinary Bio Central
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    • v.4 no.2
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    • pp.4.1-4.4
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    • 2012
  • Background: Serum concentration of cystatin C, a marker of glomerular filtration has been associated with cardiovascular disease (CVD). The aim of this study was to evaluate cystatin C as a marker of obese patients without chronic kidney disease (CKD). Materials and Methods: The study population consisted of 36 subjects with metabolic syndrome and 32 subjects free of metabolic syndrome (the control group). HDL-C, LDL-C, blood urea, triglycerides, glucose, HbA1c, serum cystatin C and serum creatinine were measured in both groups. GFR was calculated in both groups using Cockroft-Gault equation. Results: Obese patients showed higher cystatin C levels than normal samples ($1.28{\pm}0.29$, P < 0.05). In the binary logistic regression, obese patients were significantly associated with elevated cystatin C levels. Conclusion: Our results suggest that cystatin C may be a marker for obese patients and may identify a certain degree of renal dysfunction even when serum creatinine does not exceed the normal level. In this study, we demonstrated that serum creatinineand GFR did not differ significantly between the diabetic and the control groups. Serum concentration of cystatin C was significantly higher in the diabetic group compared with the control group. The strengths of this study are the evaluation of reliability and sensivity in comparison with a 'routine test of GFR'. The methodology used allows an appropriate statistical comparison of reliability in contrast to most other previous evaluations of GFR.

The Effects of Permanent Income and Non-Human Capital Asset on the Housing Tenureship (항상소득과 비인적자산이 주택점유에 미치는 영향)

  • Lee, Chae-Sung
    • Journal of the Korean housing association
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    • v.20 no.4
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    • pp.69-78
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    • 2009
  • The purpose of this study is to identify which is the better indicator to forcast housing tenureship between permanent income and current income, and study the effects of non-human capital asset on housing tenureship. To forcast permanent income, a statistic regression equation is used with current income as the dependent variable. Multi-nomial logistic model is used to forcast the housing tenureship Using current income as the dependent variable delivered a more accurate result than using permanent income. Current income is used as a dependent variable and sex, age, education and occupation are used as independent variables to forcast permanent income. Non-human capital asset is also used as an independent variable. Also, excluding non-human capital asset variable when forcasting bothe permanent income and housing tenureship proved to be more accurate. Because permanent income, the sum of future income and current asset, is a good indicator of current consumption including housing, the result with permanent income should be more accurate than the forcast using current income. This implies an underdevelopment of a housing mortgage system that enables people to consume now on the basis of their future income. The Korea's unique Chonsei housing rental system has also made it difficult to forcast housing tenureship based on people's permanent income and asset. While, the Key-money of Chonsei housing and the housing asset of homeowners with debt are very similar in their amount, the result is completely different. One is a renter and the other is a homeowner.

Maturation and Spawning of the Red Seabream Pagrus major in the South Sea of Korea (한국 남해에 출현하는 참돔(Pagrus major)의 성숙과 산란)

  • Jin, Suyeon;Im, Yang Jae;Choi, Jung Hwa;Jeong, Jae Mook;Nam, Ki Mun;Kim, Do-Gyun;Choi, Yu Jeong;Baeck, Gun Wook
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.53 no.1
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    • pp.43-49
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    • 2020
  • The maturation and spawning of red seabream Pagrus major were investigated using 1,014 samples collected monthly from January to December of 2018, in the South Sea of Korea. Based on monthly changes in maturity stage and gonadosomatic index, the spawning period was estimated to be between April and August, with peak spawning occuring from May to June. Fecundity varied between 228,996 and 4,544,948 eggs. The relationship between fecundity (F) and fork length (FL) in this species can be expressed by the equation F=0.4869FL3.9452 (R2=0.7448). Using a logistic function, the percentage of sexually mature females was estimated to be over 50% for fish with a FL of 35.3 cm.

Searching for an Optimal Level of Cash Holdings for Korean Chaebols (국내 재벌 계열사들의 최적 현금유동성 수준에 대한 실증적 분석)

  • Kim, Hanjoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.10
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    • pp.7118-7125
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    • 2015
  • This study examined one of the concerned or even imperative issues in the field of contemporary finance related to approaching an optimal level of cash holdings for the firms belonging to the chaebols in the Korean domestic capital markets. However, the subject may not have been drawn much attention so far, even if there are still ongoing and active debates among the interest parties at the macro- or micro-level. Two primary hypotheses were postulated to be empirically tested. On the results of the first hypothesis test for the existence of an optimal cash reserves for the sample firms, two estimation techniques were performed in terms of a quadratic regression equation and a relationship between a firm's value and the residuals derived from the static panel date model. As a primary financial implication of the study which may contribute to the practitioners and the academics in finance, the optimal level of cash holdings can be estimated by controlling for the a priori significant components for the sample firms towards maximizing firm value.