• Journal of the Korean Data and Information Science Society
• /
• v.24 no.6
• /
• pp.1449-1454
• /
• 2013

There are many methods for measuring the difference between two location parameters. In this paper, statistics are proposed in order to estimate the difference of two location parameters. The statistics are designed not using the means, variances, signs and ranks, but with the cumulative distribution functions. Hence these are measured as the differences in the area between two univariate cumulative distribution functions. It is found that the difference in the area between two empirical cumulative distribution functions is the difference of two sample means, and its integral is also the difference of two population means.

• Journal of the Korean Data and Information Science Society
• /
• v.25 no.1
• /
• pp.237-244
• /
• 2014

It is known that the dierence in the length between two location parameters of two random variables is equivalent to the difference in the area between two cumulative distribution functions. In this paper, we suggest two applications by using the difference of distribution functions. The first is that the difference of expectations of a certain function of two continuous random variables such as the differences of two kth moments and two moment generating functions could be defined by using the difference between two univariate distribution functions. The other is that the difference in the volume between two empirical bivariate distribution functions is derived. If their covariance is estimated to be zero, the difference in the volume between two empirical bivariate distribution functions could be defined as the difference in two certain areas.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.23 no.2
• /
• pp.185-195
• /
• 1999

The purpose of this study is to identify store image and clothing satisfaction of various clothing distribution type and is to compare the difference due to demographic variables. The data were obtained 407 housewives using questionnaire. The results were as follows. First Store image of clothing distribution types was found significant differences in product service atmosphere. Second Clothing satisfaction of clothing distribution types was founded significant differences in price brand name fashion design material sewing size. Third The new distribution types in general were not visited upon despite their high degree of recognition and using experience of new distribution types was founded significant differences in Store image of new distribution types. Fourth Among demographic variables significant difference in usage of the distributions was founded. Fifth Among demographic variables significant difference in usage of the distributions was founded. Fifth Among demographic variables significant difference in clothing satisfaction of the distributions was founded.

• Smart Structures and Systems
• /
• v.25 no.5
• /
• pp.593-604
• /
• 2020

Temperature may have more significant influences on structural responses than operational loads or structural damage. Therefore, a comprehensive understanding of temperature distributions has great significance for proper design and maintenance of bridges. In this study, the temperature distribution of the steel box girder is systematically investigated based on the structural health monitoring system (SHMS) of the Sutong Cable-stayed Bridge. Specifically, the characteristics of the temperature and temperature difference between different measurement points are studied based on field temperature measurements. Accordingly, the probability density distributions of the temperature and temperature difference are calculated statistically, which are further described by the general formulas. The results indicate that: (1) the temperature and temperature difference exhibit distinct seasonal characteristics and strong periodicity, and the temperature and temperature difference among different measurement points are strongly correlated, respectively; (2) the probability density of the temperature difference distribution presents strong non-Gaussian characteristics; (3) the probability density function of temperature can be described by the weighted sum of four Normal distributions. Meanwhile, the temperature difference can be described by the weighted sum of Weibull distribution and Normal distribution.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
• /
• v.24 no.1
• /
• pp.67-75
• /
• 2018

Background: The purpose of this study was to investigate the effect of pressure distribution on the both foots with gluteus medius muscle intensive strengthening exercise in 4week. Methods: The purpose of this study was to investigate the effect of gluteus medius muscles strengthening exercise on the pressure distribution of the foot in 20 healthy adults. Four gluteus medius muscles strengthening exercise programs were conducted three times a week for four weeks. The pressure distribution changed of the right and left foot parts of the experimental group and the control group were measured and analyzed. Results: There was a significant difference in F1, F2, M1, M2, and H1 among the pressure distribution of the right foot of the experimental group (p<.05). There was a significant difference in F1, M1, M2, H1 and H2 among the pressure distributions of the left foot of the experimental group (p<.05). There was a significant difference in H1 among the pressure distribution of the right foot of the control group (p<.05). There was no significant difference in the pressure distribution of the left foot region of the control group (p>.05). There was a significant difference in H1 among the pressure distribution of the right foot between the group (p<.05). There was a significant difference in M2, H1 among the pressure distribution of the left foot between the group (p<.05). Conclusions: In the healthy adults, it was confirmed that the application of the gluteus medius muscles strengthening exercise had an effect on the weight shift during the walking due to the overall foot balance and the pressure distribution change of the foot part.

• Journal of applied mathematics & informatics
• /
• v.40 no.3_4
• /
• pp.545-562
• /
• 2022

Using the conception of weakly weighted sharing we discussed the value distribution of the differential product functions constructed with a polynomial and difference operator of entire function. Here we established two uniqueness result on product of difference operators when two such functions share a small function.

• The Journal of Fisheries Business Administration
• /
• v.46 no.3
• /
• pp.143-161
• /
• 2015

This study presents a comparative analysis on mackerel distribution process and price formation process, and investigation of price and margin between traditional markets and Large-scale discount store distribution channel. Through this, the study investigated distribution efficiency of each channel, and examined whether a difference of distribution efficiency leads to a difference of performance through the investigation of a difference of function and role between members of a wholesale market and vendor of Large scale discount store. The following are the results of this study. As a consequence of investigating supply and sum by distribution channel of mackerel, it appeared that mackerels shipped from port market are distributed into 9 consumption sites(Wholesale market, Large scale discount store, Institutional Food Service, etc.). In the comparison of distribution efficiency between traditional retail store and Large scale discount store 52.0% margin is formed in traditional retail store distribution channel and 43.1% margin is formed in Large scale discount store, and a distribution cost rate consists of 19.4% cost in a traditional retail store for fishery products and 18.1% cost in a Large-scale discount store. To analyze a difference of performance, the study examine a difference of role and function between vendor and Wholesale market company, wholesaler and middleman. Wholesale market company and middleman of wholesale market for consumer have slightly high or similar score in collection function, sorting function, evaluation function and financial function which are traditional and original. However, it was confirmed that vendor has a better score in other functions, that is, newly-demanded functions(ex : market frontier function, product development function, Integral Distribution Function, etc.).

• Journal of Periodontal and Implant Science
• /
• v.34 no.2
• /
• pp.255-268
• /
• 2004

The purpose of the research is to compare the distribution of Black-pigmented Bacteroides between Chronic Periodontitis and Aggressive Periodontitis. P. gingivalis, P. intermedia and P. nigrescens were examined in order to evaluate their distribution in patients with Chronic Periodontitis(CP) and Aggressive Periodontitis(AP). PCR and dot-blots hybridization of 16s rRNA gene were used to compare bacterial distribution of two groups - CP group and AP group, which were divided into two subgroups. Subgingival plaque taken from the diseased sites(pocket $depth{\geq}6$ mm) and healthy sites(pocket $depth{\leq}3$ mm) were grouped into the experimental group and the control group. The result are as follows ; 1. The distribution of P. gingivalis was 98.33% for chronic Periodotitis(CP), 94.17% for Aggressive Periodontitis(AP), the distribution of P. intermedia was 77.50% for CP, 64.17% for AP, and the distribution of P. nigrescens was 35.00%, 29.17%. In all 3 types of bacteria, CP group showed higher distribution compared to AP group, but only P. intermedia showed statistically significant difference. 2. In the case of CP, every type of bacteria showed higher distribution in the experimental group with statistically significant difference. 3. In the case of AP, every type of bacteria also showed higher distribution in the experimental group, but P. gingivalis and p..intermedia showed the result with statistically significant difference, and the other did not 4. In 3 all bacteria type, N-AP showed higher distribution than N-CP without statistically significant difference These results suggest that the comparison of the distribution of Bacteroides between Chronic Periodontitis and Aggressive Periodontitis has no statistically significant difference, except P. intermedia.

• Bulletin of the Korean Mathematical Society
• /
• v.51 no.5
• /
• pp.1291-1297
• /
• 2014

In this paper, we investigate the value distribution of the difference operator on meromorphic functions, and obtain a difference analogue of a theorem of Hayman on meromorphic functions.

• Journal of Korean Public Health Nursing
• /
• v.7 no.1
• /
• pp.81-97
• /
• 1993

This study was carried out to analyze the factors of the perieved symptoms of fatigue of the industrial workers, to examine the inter-relatisnship of the above factors with their general charactenstics and the environments of working area for the examination of their health status and the effective health management of them. This study was undertaken from December 1 to December 20, 1990. The subjets were 495 workers who had worked at the Industrial complex located in Chonbuk Province. The result of this study were as follows: 1. The worker's percieved symptoms of fatigue were classified to the following seven factors; A) Musculo-Skeletal Symptoms, B) Neuro-Psychial Symptoms, C) Optical Symptoms, D) Heart Symptoms, E) Head Symptoms, F) Respiratory Symptoms, G) Genital Symptoms 2. Analysis of the inter-relationship of their percieved symptoms of fatigue with general characteristics; 1) The difference of distribution to their percieved symptoms of fatigue according to sexuality was significant; Female were higher than Male $(p{\leqq}0.001$, p<0.005) 2) The difference of distribution to their percieved symptoms of fatigue according to age was significant; Age group under 24 years of age were higher than the other's group (p<0.001). 3) The difference of distribution to their percieved symptoms of fatigue according to the level of education was significant; Workers who stand on a low intellectual were higher than workers on a high intellectual level. 4) The difference of distribution to their percieved symptoms of fatigue for a week was the highest when worked at sunday. 5) The difference of distribution to their percieved symptoms of fatigue for seasons was high at spring. 3. Analysis of the inter-relationship of their percieved symptoms of fatigue with the environments of working area. 1) The difference of distribution of their percieved symptoms of fatigue according to the working department was significant; Production workers were higher than office workers. 2) The difference of distribution of their percieved symptoms of fatigue related with working posture was significant; Sitting: Musculo-Skeletal symptoms (p<0.05), Optical symptoms (p<0.005) 3) The more dissatisfied with their's own duty they were, the higher became the distribution of their percieved symptoms of fatigue (p<0.001. p<0.005, p<0.05) 4) The more dissatisfied with their working condition they were, the higher became the degree of their percieved symptoms of fatigue (p<0.001. P<0.05) 5) The difference of distribution of their percieved symptoms of fatigue according to kinds of job was significant: Workers who has handled heavy materials were higher than who had not handled $(p{\leqq}0.001$, p<0.05). Workers who has handled chemical materials: Optical, symptoms $(p{\leqq}0.001)$. Workers who has handled dusty materials: Respiratory symptoms (p<0.01) 6) The environment of working area was significantly affected to the distribution of their percieved symptoms of fatigue: Workers complains of a illumination problem; Optical symptoms (p<0.005), Heart symptoms (p<0.005) Workers complains of a ventilation problem: Heart symptoms (p<0.05), Optical symptoms, Heart symptoms (p<0.01) Musculo-skeletal symptoms ($p{\leqq}0.001$)