• Communications for Statistical Applications and Methods
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• v.15 no.4
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• pp.509-516
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• 2008

We derive the influence function on the coefficient of variation. Empirical influence function and Sample influence function are used to verify the validity of the derived influence function. To show the validity of the influence function, we carry out simulations with random samples from normal distribution $N(20,1^2)$ and $N(20,5^2)$, respectively. The simulation result proves that the derived influence function is very accurate in estimating changes in the coefficient of variation when an observation is deleted.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.10a
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• pp.85-85
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• 2018

식물의 특성조사요령에서 조사항목을 정하는 것은 특정한 식물의 고유특성을 표현하고 새로운 품종에 대한 DUS를 확인할 수 있는 가장 중요한 과정이다. 이를 위해 참억새(Miscanthus sienesis) 품종들의 양적형질에 대한 조사결과를 각각의 특성조사 항목별로 분석하였다. 각 특성조사 항목의 측정값이 여러 품종에서 균일하게 나타날 경우 식물의 형태를 표현할 수 있는 조사항목으로 채택하는데 문제가 없으나, 그렇지 않은 경우 조사항목이 품종의 특성을 표현하기 어렵기 때문에 채택을 고려해야 한다. 이에 따라 참억새(M. sienesis) 재배종을 대상으로 양적형질의 측정값에 대해 변이계수(Coefficient of Variation)를 이용하여 균일한 정도를 확인하고 조사항목으로서의 타당성을 검토해보았다. 조사대상은 참억새 15개 재배종으로 양적특성 16개를 분석하였다. 분석결과 식물체 높이, 줄기 길이, 마디의 수, 까락 길이는 변이계수가 5%이하로 작아 양적형질을 표현하는데 있어 문제가 없으나, 마디길이와 엽초길이는 변이계수 22%에서 68% 사이로 높아 형질의 특성이라고 설명하는데 문제가 있었다. 조사항목에 대한 변이계수가 다른 특성들에 비해 높은 경우 변이의 범위가 넓어 품종의 형질이라고 판정하기 모호하기 때문에 조사항목으로의 채택은 고려해야한다. 이러한 분석결과는 향후 특성조사요령의 양적형질에 대한 특성조사항목을 결정하는 방법에 있어서 유용한 자료로 이용될 것이라 사료된다.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.19
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• pp.39-46
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• 1975

The optimum plot size and shape for soybean yield trials were estimated by using two different soybean varieties, Kumkang-daelip and Clark. Long narrow shape plot was generaIly showed lower C.V. value as compared to the plots consisted of more row number with short row length. The results obtained in this experiment provided the optimum size and shape of plots for Clark as 1. 4m x 6m, and for Kumkang-dailip as 1.4m $\times$ 9m, respectively.

• The Korean Journal of Nuclear Medicine
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• v.25 no.2
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• pp.266-279
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• 1991

1989년 9월부터 1990년 8월까지 국제 원자력기구의 지역 계획에 의해 국내 26개 (후반부 31개)의 기관이 참가하여 T3, T4, TSH를 측정하여 결과를 모으고, 외부정도관적를 시행한 결과가 다음과 같다. 1) 외부정도관리를 위한 컴퓨터 소프트웨어를 작성하였다. 데이타의 입력, 정도 분석, 월별 보고, 분기별 보고 및 수행 분석 프로그램을 만들되 전체 검사실결과에서 추린 평균값(all laboratories trimmed mean: ALTM)으로 모집단평균을 삼아 편차, 편이, 편이평균 그리고 이들의 경시적 변화를 분석하도록 하였다. 2) 전후반 2회에 나누어 만든 및치 사이의 편차는 유의하지 않았다. T3값의 변이계수는 7.2%이하(정상 T3 값) 또는 9.2%와 13.4%사이 (높은 T3 값), 74 값의 변이계수는 4.6%이하(정상 또는 높은 T4값), 5.4%와 9.5%사이(낮은 T4값)이었다. TSH는 정상범위 값에서 21.7%이하의 변이 계수를 보였고 정상보다 낮거나 높은 TSH의 풀은 8 7%와 21.2%사이의 변이제수를 보였다. 3) 전체 검사실 추린 평균값(ALTM)에 따른 변이계수의 변동은, ALTM이 정상 T4값범위일 때 변이계수는 15%이하이었고, 낮은 T4값일 때는 중간값이 15%이고 분포범위는 50%까지이었다. T3값의 변이계수는 대체로 20%이하이었다. TSH의 변이계수는 1mU/L를 전후로 급격히 상승하여 200%에 달하였다. 4) 3표준편차보다 높거나 낮은 값을 보인 검사실들의 분포는 전체 검사실결과에서 추린 평균값(ALTM)과 상관없었다. 5) 첨가한 T3, T4, TSH에 대한 회수율은 T4는 104, 106%, T3는 67%, 74%, TSH는 87%, 86%이었다. 이상과 같이, 저자들이 만든 소프트웨어 프로그램으로 외부정도관리를 위하여 쉽게 데이터를 분석하고 보고서를 작성하여 갑상선호르몬의 경사신뢰도를 평가할 수 있게 되었으며, 위에 요약한 첫 해의 외부정도관리 결과를 바탕으로 참가기관의 동의하에, 앞으로 정도관리 항목의 확대와 외부정도관리의 지속적인 시행이 바람직하다고 생각하였다.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.26 no.4
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• pp.293-297
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• 1981

An attempt has been made to determine the optimum size of sampling unit and the number of samples for a given precision in wheat, using the data collected from the various experiments in 1979/80. It was found that the coefficients of variation for number of spikes except the case of high-ridge broadcasting by 8HP rotarized seeder are in the same order of those for yield of wheat, and the regression coefficients associated with the coefficients of variation and the size of sampling unit were significant at 1% level of type I error. A wide range of variation in the size of sampling unit was observed for different methods of seeding, indicating the proper sizes of sampling units for 40cm \times 18cm, 60cm \times 18cm, 20cm \times 5cm, 120cm \times 90cm to be 0.40$m^2$, 0.17$m^2$, , 0.11$m^2$, , 0.55$m^2$, , respectively. The variance component for the experimental error was not physically possible to estimate due probably to high variability among the sampling units. The number of the sampling units per plot for a given precision of CV=12% was estimated to be one in an experiment with 4 replicates.

• Communications for Statistical Applications and Methods
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• v.4 no.3
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• pp.617-628
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• 1997

시계열 자료의 변이상태(transition status)에 대한 판별은 여러 분야에서 연구되고 있다. 하지만 변압기의 진동신호와 같이 특정한 시계열모형을 적합시키기 힘든 자료는 변이 상태에 대한 판별이 쉽지 않다. 본 논문에서는 정상적인 변압기에서 발생하는 진동신호에 대하여 각 주기별 최대값, 자기상관계수 및 편자기상관계수 등의 경험적 표본분포를 연구한 후, 이를 이용한 관리도를 만들어 변압기 진동신호의 변이상태에 대한 판별을 하였다. 이 방법은 품질관리의 관리도 이론을 시계열자료에 응용한 것으로 비정상적인 변압기 진동신호의 판별에 만족스러운 결과를 가져왔다.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.50 no.spc1
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• pp.94-98
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• 2005

This study was carried out to provide the geographic information based on the distribution of rice qualities and palatability in Gyeoungbuk province of Korea. The rice grain quality and environmental factors were analyzed using 513 sampling sites based on different five-agroclimtic regions of Gyeoungbuk province during three years from 2002 to 2004. In rice grain quality characteristics, the average palatability was low in South eastern coastal and Tabaek semi alpine regions as $67.6\~68.3$ and the coefficient of variation (CV) was relatively high as $6.2\~7.4\%$. The average head rice rates were low in South and Central eastern coastal regions as $87.3\~88.2\%$ and CV was high as $8.2\~8.3\%$. The average protein content was high in Central eastern coastal regions as $8.0\%$ and CV was high as $8.2\~8.3\%$. In case of palatability, the variation was differed clearly between high and low agroclimatic regions; it means that it is possible to divide the same agroclimatic region of high CV into two or three areas by CV of palatability. As the results of subdividing each existing agroclimatic regions based on the palatability, the variation of grain quality characteristics was become lower than that of existing five-agroclimatic regions. Therefore, the re-establishing of agroclimatic region based on rice grain quality was very important for precise cultivation for rice.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.50 no.spc1
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• pp.69-76
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• 2005

This study was carried out to improve the rice grain quality of Gyeoungbuk Province from 2002 to 2004. In variation of grain quality characteristics as the cultivation years were changed, the coefficient of variation (CV) of palatability and amylose content were relatively low as $3.9\~4.3\%$ and those of protein content and head rice rate were high as $7.9\~12.2\%$. Among the varieties, the tendency of variation was similar with cultivation years changing, CV of amylose content and palatability also low as $2.6\~3.6\%$ and those of head rice rate and protein content were high as $5.4\~7.2\%$. In variation as affected by shifting of transplanting times, the CV of protein content was low as 2.2, it was also relatively low in amylose content and head rice rate as $3.1\~3.7\%$, but it was high in palatability as $5.8\%$. As the nitrogen application levels were different the CV of amylase content was $1.8\%$ that it was not affected by the N levels. But in case of protein content, the CV was $4.4\%$ that the variation was somewhat increased, it suggested that as the N levels were increased the protein content was also increased. From these results, the rice quality characteristics showed the higher variation in the change of cultivation years than that in rice varieties, transplanting times or nitrogen levels.

• Horticultural Science & Technology
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• v.34 no.2
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• pp.269-281
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• 2016

The statistical analyses of coefficient of variation, heritability, and genetic advance were carried out to identify differences in morphological characteristics, such as the stem and inflorescence length, of 10 major commercial cultivars of spray chrysanthemum (Chrysanthemum morifolium). For morphological characteristics, stem lengths ranged from 46.4 cm to 54.9 cm, the maximum diameter of stem was 5.6 to 8.5 mm, the hardness of the stem was 0.17 to $0.70kg{\cdot}m^{-2}$, the fresh weight of stem was 7.5 to 17.5 g, the dry weight of the stem was 1.6 to 3.3 g, the ratio of dry weight/fresh weight of stem was 15.9% to 23.1%. Also, the number of leaves on the stem was 8.4 to 12.2, the stem leaf area was 17.8 to $37.8m^2$, the fresh weight stem leaves was 5.3 to 18.6 g, the dry weight was 0.5 to 1.4 g and the ratio of dry weight /fresh weight of stem leaves was 7.6% to 11.5%. The inflorescence length ranged from 10.1 to 18.6 cm, the fresh weight of inflorescence was 7.3 to 26.7 g, the dry weight of inflorescence was 1.2 to 2.8 g, the ratio of dry weight /fresh weight of inflorescence was 10.4% to 17.1%. For flower, the diameter of the flower center was 8.2 to 13.3 mm, the petal width was 5.7 to 14.0 mm, the petal length was 12.9 to 33.1 mm, and the petal thickness was 157.8 to $354.4{\mu}m$. The mean values of each character in each cultivar were very different, and DMRT and LSD values based on morphological characteristics among 10 cultivars were highly significant. For variability and genetic parameters, the lowest CV (coefficient of variation), PCV (phenotypic coefficient of variation), and GCV (genotypic coefficient of variation) were 4.79% to 5.15% in stem length, and the highest variations were 62.97% to 65.21% in leaf area. ECV (error or environmental coefficient of variation) was the lowest for leaf area (1.71%) and it was the highest for leaf dry weight (19.30%). Heritability also significantly differed among the characteristics, ranging from 68.69% to 99.67%, the lowest value was shown in ratio of dry weight /fresh weight of stem and the highest value was for leaf area of stem. The value for genetic advance was the lowest in hardness of stem at 0.30 and the highest in leaf thickness at 156.65. The lowest genetic advance as percentage of mean of stem hardness was 9.17%, while the highest percentage of stem length was 134.27%. Thus the characters which had the highest values indicated above show the influence of additive gene action and may provide useful resources for selection programs for agronomic improvement.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.41 no.3
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• pp.354-361
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• 1996

Near Infrared Reflectance Spectroscopy(NIRS) is accepted as today's most versatile method for rapid chemical analysis. The technique offers rapid multicomponent analysis. This study was conducted to improve the efficiency of quality analysis in covered barley grain, and to search for the effects of chemical components variation in covered barley grain on NIRS. Among the three groups with different range in the contents, each equation for starch contents increased standard error of prediction(SEP) and increased correlation coefficient from 0.872 to 0.883. According as, $\beta$-glucan and protein contents decreased SEP and increased correlation coefficient by expanded chemical components variation. Effective equation for ash contents analysis was obtained from group 3. Among the covered barley chemical components, starch and ash contents were required to conduct futher studies in term of accuracy and variation of contents. It was concluded that NIRS method would be applicable for the rapid determination of $\beta$-glucan and protein contents in covered barley grains.