• 한국응용곤충학회지
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• 제51권2호
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• pp.91-97
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• 2012

온주밀감에서 귤녹응애, Aculops pelekassi의 분산지수와 분포양상, 표본조사시 적정 표본수에 대하여 조사하였다. 귤녹응애는 집중분포를 하고 있었으며, 분산지수는 Taylor's power law가 Iwao's patchiness regression보다 더 잘 설명하고 있었다. Taylor's power law의 상수를 이용하여 고정 정확도 수준에서 열매 표면 $cm^2$당 누적충수에 따라 조사를 중지할 수 있는 표본조사법을 만들었다. 경제적인 표본조사를 위하여 Kono-sugino의 경험적 이항모델을 개발하였으며, 이항모델을 이용하면 귤녹응애가 $cm^2$당 12마리 이상 발생한 열매 비율을 이용하여 평균밀도를 추정할 수 있었다 : $ln(m)=4.61+1.23ln[-ln(1-p_{12})]$. 최적의 tally threshold를 결정하기 위하여 추정평균에 대한 분산을 계산한 결과 tally threshold가 12일 때 추정평균의 분산이 적었으며, 발생과율 0.1~0.5의 범위에서 분산의 변동이 거의 없어 다른 tally threshold에 비해 높은 정확도로 평균을 추정할 수 있었다. 적정 표본수를 결정하기 위하여 계층표본조사법을 이용하여 분석한 결과 고정 정확도 0.25수준에서 감귤원당 적정 조사 나무수는 13주였으며, 나무당 조사 열매수는 5개, 열매당 2지점에서 $cm^2$당 귤녹응애수 조사가 바람직하였다(총 130표본).

• 한국농공학회지
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• 제22권3호
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• pp.75-87
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• 1980

Most hydro]ogic phenomena are the complex and organic products of multiple causations like climatic and hydro-geological factors. A certain significant correlation on the run-off in river basin would be expected and foreseen in advance, and the effect of each these causual and associated factors (independant variables; present-month rainfall, previous-month run-off, evapotranspiration and relative humidity etc.) upon present-month run-off(dependent variable) may be determined by multiple regression analysis. Functions between independant and dependant variables should be treated repeatedly until satisfactory and optimal combination of independant variables can be obtained. Reliability of the estimated function should be tested according to the result of statistical criterion such as analysis of variance, coefficient of determination and significance-test of regression coefficients before first estimated multiple regression model in historical sequence is determined. But some error between observed and estimated run-off is still there. The error arises because the model used is an inadequate description of the system and because the data constituting the record represent only a sample from a population of monthly discharge observation, so that estimates of model parameter will be subject to sampling errors. Since this error which is a deviation from multiple regression plane cannot be explained by first estimated multiple regression equation, it can be considered as a random error governed by law of chance in nature. This unexplained variance by multiple regression equation can be solved by stochastic approach, that is, random error can be stochastically simulated by multiplying random normal variate to standard error of estimate. Finally hybrid model on estimation of monthly run-off in nonhistorical sequence can be determined by combining the determistic component of multiple regression equation and the stochastic component of random errors. Monthly run-off in Naju station in Yong-San river basin is estimated by multiple regression model and hybrid model. And some comparisons between observed and estimated run-off and between multiple regression model and already-existing estimation methods such as Gajiyama formula, tank model and Thomas-Fiering model are done. The results are as follows. (1) The optimal function to estimate monthly run-off in historical sequence is multiple linear regression equation in overall-month unit, that is; Qn=0.788Pn+0.130Qn-1-0.273En-0.1 About 85% of total variance of monthly runoff can be explained by multiple linear regression equation and its coefficient of determination (R2) is 0.843. This means we can estimate monthly runoff in historical sequence highly significantly with short data of observation by above mentioned equation. (2) The optimal function to estimate monthly runoff in nonhistorical sequence is hybrid model combined with multiple linear regression equation in overall-month unit and stochastic component, that is; Qn=0. 788Pn+0. l30Qn-1-0. 273En-0. 10+Sy.t The rest 15% of unexplained variance of monthly runoff can be explained by addition of stochastic process and a bit more reliable results of statistical characteristics of monthly runoff in non-historical sequence are derived. This estimated monthly runoff in non-historical sequence shows up the extraordinary value (maximum, minimum value) which is not appeared in the observed runoff as a random component. (3) "Frequency best fit coefficient" (R2f) of multiple linear regression equation is 0.847 which is the same value as Gaijyama's one. This implies that multiple linear regression equation and Gajiyama formula are theoretically rather reasonable functions.

• Industrial Engineering and Management Systems
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• 제12권4호
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• pp.406-415
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• 2013

The present study examines a set of financial ratios in predicting the up or down movements of stock prices in the context of a securities law, the Sarbanes-Oxley Act of 2002 (SOA), controlling for macroeconomic variables. Using the logistic regression with proxy betas to alleviate the incompatibility problem between the firm-specific financial ratios and macroeconomic indicators, we report evidence that financial ratios are meaningful predictors of stock price changes, which subdue the influence of macroeconomic indicators on stock returns, and more importantly that the SOA truly improves the stock price predictability of financial ratios for the markup sample. The empirical results further suggest that industry and time effects exist and that for the markdown sample the SOA actually deteriorates the predictive power of financial ratios.

• 약학회지
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• 제38권4호
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• pp.366-371
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• 1994

To improve the identification power of TLC/HPTLC the in situ reflectance spectra obtained directly from plates with commercial scanner are used. The spectrum normalization should be carried out prior to comparing and searching the spectra from library for the identification of compounds. Because the reflectance does not obey the Lambert-Beer's law, there arise some problems in normalization. These problems could be solved to some extent by normalizing the spectra with regression methods. The spectra are manipulated with the regression function of a curve obtained from the correlation plot. When the parabola was used as the manipulating function, the spectra were identified with the accuracy of 97% and this result was better than that of conventionally used the point and area normalization method.

• 소성∙가공
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• 제11권5호
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• pp.394-404
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• 2002

The drawbead model for a three-dimensional a finite element analysis of sheet metal forming processes is developed. The mathematical models of the basic drawbeads like circular drawbead, stepped drawbead, and squared drawbaed are first derived using the bending theory, belt-pulley equation, and Coulomb friction law. Next, the experiments for finding the drawing characteristics of the drawbead are performed. Based on mathematical models and drawing test results, expert models of basic drawbeads are then developed employing a linear multiple regression method. For the expert models of combined drawbeads such as the double circular drawbead, double stepped drawbead, circular-and-stepped drawbead, etc., those of the basic drawbeads are summed. Finally, in order to verify the expert models developed, the drawing characteristics calculated by the expert models of the double circular drawbead and circular-and-stepped drawbead are compared with those obtained from the experiments. The predictions by expert models agree well with the measurements by experiments.

• The Journal of Asian Finance, Economics and Business
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• 제6권3호
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• pp.131-140
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• 2019

The study aims to examine the impact of productivity in addition to the policy of increasing the foreign investors' ownership rate on the performance of businesses which were listed on Vietnam's stock exchange market from 2010 to 2017. With the database of 3.961 observations, the study employs a statistical method - multiple regression to estimate the relationship between labor productivity, foreign ownership as well as other firm-level characteristics and firm performance. Research findings show that increasing labor productivity and increasing foreign ownership rates help increase firm performance. In addition, except for financial leverage, variables such as liquidity and firm size have positive effects on firm performance measured by Tobin's Q. These findings have theoretical contributions and practical implications for managers, investors and government in Vietnam. Managers should pay attention to improving labor productivity through employing incentive mechanisms, building a good working environment, investing in technology, etc. in order to enhance the firm performance. Investors could utilize the labor productivity and foreign ownership indicators to select stocks of good companies for investment. For Vietnamese government, relaxing the limit of foreign ownership and accelerating the divesting of State capital in State-owned enterprises could help increase the investment scale of foreign investors and resulting in positive effects on the firm performance.

• 한국식품과학회지
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• 제22권5호
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• pp.533-538
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• 1990

풀루란 발효에서 500rpm에서 통기속도를 0.5vvm, 1.0vvm, 2.0vvm으로 증가시켰을 때 최대 비성장속도는 $0.168(hr^{-1})$에서 $0.192({hr^{-1})$로 증가되었으며 풀루란의 최대 비생산속도는 $0.046({hr^{-1})$에서 $0.093({hr^{-1})$으로 증가되었다. 풀루란 발효액의 물성은 power-law를 따르는 Pseudoplasticity를 나타냈으며 Power-law 변수들과 풀루란 농도 사이에는 $lnK(t)=ln({\tau})_o-n(t)\;ln({\gamma})_o$와 $K(t)=AP(t)^B$의 상관관계를 보였다.

• 한국잠사곤충학회지
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• 제39권2호
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• pp.174-179
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• 1997

The larval head capsule width, larval weight and length of mulberry longicorn beetle, Apriona germari Hope were measured when the larvae were exuviated in artificial diet rearing. The larval head capsule width from the 1st to the 12th instar was ranged from 0.12 to 0.69 cm, and growth ratio of each instar was significantly high between the 1st and the 2nd instars. The fitness to Dyar's law for the larval head capsule width was 87.6%. When the logarithum of the larval head capsule width is plotted against the number of instars, the calculated regression line was LogY=0.12086+0.06998X and Dyar's constant was 1.18. The larval weight was increased with larval developmental stages, and the coefficient of variation of larval weight was apparently high. But the calculated regression line was LogY=-0.91592+0.25959X and Dyar's constant was 1.25. The growth ration of the larval length was clearly high between the 2nd and the 3rd instars, and that of larvae from the 4th instar was decreased. The calculated regression line was LogY=-0.16932+0.09841X and Dyar's constant was 1.25. In conclusion, our results suggested that the larvae growth of mulberry longicorn beetle appeared to be highly related in the larval head capsule width, larval weight and length.

• 에너지공학
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• 제25권4호
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• pp.190-197
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• 2016

인화점은 가연성 액체 용액을 안전하게 취급하기 위한 중요한 성질 중 하나이다. 본 논문에서는 Seta flash 밀폐식 장치를 이용하여 이성분계 용액인 water+1-propanol과 water+2-propanol계의 인화점을 측정하였다. 회귀 분석법을 이용하여 인화점을 계산하였다. 또한 라울의 법칙을 이용하여 인화점을 계산하였고, van Laar 식의 이성분계 파라미터를 최적화시키는 방법을 통해 인화점을 예측하였다. 각 인화점 계산 결과와 측정 결과를 비교하였다. 그 결과, 회귀 분석법에 의한 인화점 계산치가 가장 측정치를 잘 모사하였다.

• Asian Journal of Business Environment
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• 제5권1호
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• pp.27-35
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• 2015

Purpose - The study aims to investigate the effects of ethical management on corporate image and purchase intention. Research design, data, and methodology - The study employs monthly time series data from October 2013 to November 2013, analyzing variables to verify hypotheses. These concern three questions on marketing communication, five on public interest business activities, four on donation & sponsorship, two on donation & sponsorship activities, six on corporate image, four on volunteer service, and five on demographic characteristics. Results - Hypothesis 1, "Ethical management in marketing communication, public interest business, donation & sponsorship, and volunteer service positively affects corporate image," was partially adopted with significant regression of marketing communication, public interest business activity, and donation & sponsorship. Hypothesis 2, "Ethical management such as marketing communication, public interest business, donation & sponsorship, and volunteer service positively affects purchase intention," was partially adopted with significant regression of marketing communication and public interest business. Hypothesis 3, "Corporate image positively affects purchase intention," was adopted at significant regression. Conclusions - Ethical management influenced purchase intention and corporate image.