• YAKHAK HOEJI
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• v.17 no.1
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• pp.31-39
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• 1973

The influence of guanethidine on the renal function was investigated in the rabbit. Guanethidine, 1-10mg/kg, i.v., produced no marked change in the renal function, while second and successive doses of guanethidine elicited a significant increase in urine flow and electrolyte excretion as well as renal plasma flow and glomerular filtration rate. It was suggested that the diuretic action was brought about by improvement of hemodynamic state in the kidney ; increased filtration as a result of increased renal perfusion. Atropine alone did not significantly influence the renal function but pretreatment of animals with atropine, 4 mg/kg i.v., completely abolished the diuretic action of guanethidine. It is suggested that guanethidine influences the renal function by activating parasympathetic nervous system or some cholinergic mechanism in the kidney.

• Journal of the Korean Statistical Society
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• v.26 no.1
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• pp.1-22
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• 1997

In the linear regression model $y_{i}$ = .alpha. $x_{i}$ $^{T}$ .beta. + .epsilon.$_{i}$ , i = 1,2,...,n, the weighted pairwise absolute deviation (WPAD) estimator was defined by minimizing the dispersion function D (.beta.) = .sum..sum.$_{{i $w_{{ij}}$$\mid$ $r_{j}$ (.beta.) $r_{i}$ (.beta.)$\mid$, where $r_{i}$ (.beta.)'s are residuals and $w_{{ij}}$'s are weights. This estimator can achive bounded total influence with positive breakdown by choice of weights $w_{{ij}}$. In this paper, we consider a more general type of dispersion function than that of D(.beta.) and propose a pairwise GM-estimator based on the dispersion function. Under some regularity conditions, the proposed estimator has a bounded influence function, a high breakdown point, and asymptotically a normal distribution. Results of a small-sample Monte Carlo study are also presented. presented.

• Human Ecology Research
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• v.59 no.3
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• pp.387-400
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• 2021

This study examined the structural relationship between children's academic stress, grit, executive function difficulty, and media device addiction. Data on 1,132 children and their mothers from the 11^th (2018)Panel Study on Korean Children were used for the study. Data were collected by Academic Stress Scale, Grit Scale-Children, Child-Adolescent Self-reported Executive Function Difficulty Screening Questionnaire, and K-Internet Addiction Scale. Data were analyzed using SPSS 25.0 and AMOS 23.0 program with Pearson correlation, structural equation model and bootstrapping. The main results were as follows. 1) Children's academic stress had a negative influence on their grit. 2) Children's grit had a negative influence on their executive function difficulty and media device addiction. 3) Children's executive function difficulty had a positive influence on their media device addiction. 4) The relationship between children's academic stress and media device addiction was mediated by their grit and executive function difficulty. This study is significant in the sense that it found protective factors and risk factors for children's addiction to media devices. We suggest that children's grit be improved, and their academic stress and executive function difficulty be reduced to prevent and mediate children's media device addiction.

• Journal of the Korean Statistical Society
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• v.30 no.4
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• pp.563-571
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• 2001

In this paper, we study selecting a transformation so that the transformed variable is nearly symmetrically distributed. The large sample properties of an M-estimator of transformation parameter that is obtained by minimizing the integrated square of the imaginary part of the empirical characteristic function are investigated when a random sample is selected from some unspecified distribution. According to influence function calculations and Monte Carlo simulations, these estimates are less sensitive, than the normal model maximum likelihood estimates, to a few outliers.

• Smart Structures and Systems
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• v.24 no.4
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• pp.475-490
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• 2019

The detection of structural damage without a priori information on the healthy state is challenging. In order to address the issue, the study presents a baseline-free approach to detect damage in beam structures based on an actual influence line. In particular, a multi-segment function-fitting calculation is developed to extract the actual deflection influence line (DIL) of a damaged beam from bridge responses due to a passing vehicle. An intact basis function based on the measurement position is introduced. The damage index is defined as the difference between the actual DIL and a constructed function related to the intact basis, and the damage location is indicated based on the local peak value of the damage index curve. The damage basis function is formulated by using the detected damage location. Based on the intact and damage basis functions, damage severity is quantified by fitting the actual DIL using the least-square calculation. Both numerical and experimental examples are provided to investigate the feasibility of the proposed method. The results indicate that the present baseline-free approach is effective in detecting the damage of beam structures.

• Culinary science and hospitality research
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• v.16 no.2
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• pp.31-48
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• 2010

The purpose of this study was to examine the influence of food service web site users' functional recognition extent on switching behaviors. For this, a survey of web site users was carried out. As for analytic methods, frequency analysis was used to examine respondents' demographic features. In addition, simple regression analysis and multiple regression analysis were carried out used to look into the influence of functional recognition of food providers' web sites on switching behaviors. Study findings are as follows: all the functional variables such as entertainment, advertisement & public relations, communication and purchase decision-making function have significant influence on users' switching behaviors. When users' recognition extent of food providers' online web sites is high, their switching behavior is also high. In particular, the following clause have the greatest influence upon users' switching behaviors pattern. In the function of entertainment, (1) it is easy to search on web site; in the advertisement function, (2) the image of restaurant can easily be recognize; In the communication function, (3) the image of new products can be seen with ease; and in the purchase decision-making function, (4) web sites are easily accessible.

• The Korean Journal of Applied Statistics
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• v.30 no.4
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• pp.529-538
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• 2017

The Ghosh and Kim zero-altered distribution model is used to analyze count data that have too many or too few zeros. The dispersion type parameter ${\delta}$ in the zero-altered distribution model consists of mean, variance and zero probability and has two forms depending on the relation between ${\mu}$ and ${\sigma}^2$. We derived the influence function on ${\delta}$ when ${\sigma}^2{\geq}{\mu}$. To show the validity of the influence function, we used the Census data on the number of births of married women in Korea to compare the estimated changes in ${\delta}$ using this function with those obtained using the direct deletion method. The result proved that the obtained influence function is very accurate in estimating changes in ${\delta}$ when an observation is deleted.

• Journal of the Korean Statistical Society
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• v.28 no.2
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• pp.265-277
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• 1999

Classical and inverse estimation methods are two well known methods in statistical calibration problems. When there are outliers, both methods have large MSE's and could not estimate the input value correctly. We suggest median calibration estimation based on the LD-statistics. To investigate the robust performances, the influence function of the median calibration estimator is calculated and compared with other methods. When there are outliers in the response variables, the influence function is found to be bounded. In simulation studies, the MSE's for each calibration methods are compared. The estimated inputs as well as the performance of the influence functions are calculated.

• Journal of applied mathematics & informatics
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• v.28 no.3_4
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• pp.913-921
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• 2010

The derivative influence measure is adapted to the Cholesky decomposition of a covariance matrix. Formulas for the derivative influence of observations on the Cholesky root and the inverse Cholesky root of a sample covariance matrix are derived. It is easy to implement this influence diagnostic method for practical use. A numerical example is given for illustration.

• Journal of the Korean Home Economics Association
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• v.50 no.6
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• pp.77-87
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• 2012

The purpose of this study is to investigate the influence of the mentoring function and mentor trust on the intention to reparticipate in the mentoring program, focusing on university students in fashion related departments. To achieve the purpose, research was conducted through a survey questionnaire. The questionnaire data from 223 university students in fashion related departments who experienced mentoring programs were analyzed. SPSS 18.0 and AMOS 7.0 statistical packages were used to investigate a structural model and test research hypotheses. The results derived from the analysis of the questionnaire survey were summarized as follows. First, the result showed that the mentoring function was composed of three factors: a sensitivity developmental function, psychosocial function, and fashion career developmental function. Second, the sensitivity developmental function, psychosocial function, and fashion career developmental function positively affected mentor trust. Third, the sensitivity developmental function positively affected the intention to reparticipate in the mentoring program, while the psychosocial function and fashion career developmental function did not influence the intention to reparticipate in the mentoring program. Fourth, mentor trust positively influenced the intention to reparticipate in the mentoring program. The results of the current study would be useful for the professor and university administrator who would like to establish a mentoring program in a fashion related department, by exploring the relation of mentoring function, mentor trust and the intention to reparticipate in the mentoring program.