• The Korean Journal of Food And Nutrition
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• v.10 no.2
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• pp.246-253
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• 1997

This study was conducted to investigate the effect of protein kinds and levels on lipid metabolism in hypercholesterolemia rats. Male Sprague Dawley rats were administrated 1% cholesterol and 0.25% sodium cholate to induce hypercholesterolemia and were fed on diet containing two levels(7, 20%) of casein and soy protein respectively. The rats were sacrified after 5 weeks of feeding periods. Total lipid content in serum was decreased in proportion to level of protein and soy protein was more effective than casein in lipid-lowering effect. Serum triglyceride content was significantly decreased in proportion to level of protein and did not show significance by protein kind. Serum phospholipid content was more significantly decreased in 20% protein groups than that of 7% protein groups. Total cholesterol content in serum was significantly decreased by protein and were decreased in proportion to level of soy protein. Free cholesterol content did not show significance by protein level. The degree of decrease predominated in soy protein groups. Serum HDL-cholesterol content and RL-cholesterol were increased in proportion to level of protein and effect of soy protein was not more significantly than that of casein. Atherogenic index was significantly decreased in proportion to level of protein and soy protein groups were more effective. Serum LDL-, VLDL-cholesterol contents were more significantly decreased in 20% protein groups than that of 7% protein groups. Serum $\beta$-lipoprotein and chylomicrone-cholesterol contents also showed significantly decrease by soy protein.

• Journal of The Korean Society of Grassland and Forage Science
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• v.4 no.2
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• pp.98-107
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• 1983

This experiment was carried out to determine the optimum fertilizer level of N-P-K for maximum yield of grasses at hill-land pasture. The pasture species tested were orchardgrass, tall fescue, alfalfa and ladino clover. The results are summarized as follows: 1. The difference in yield of treatment 1, 2, and 4, 5 was significant at the 5% level. In other word, alfalfa yields from 6-30-30 kg/10a and 6-40-30 kg/10a (N-P-K) application were significantly increased over the yields from 4-20-20 kg/10a and 4-30-20 kg/10a (N-P-K). In observing the yield from the treatment 5 where 10 kilograms of phosphate was additionally applied over the treatment 4, it was increased in yield but failed to show statistical significance. With these results, the most optimum rates of N-P-K for alfalfa production are 6-30-30 kg/10a. 2. Ladino clover showed the highest yield at treatment 6 with statistic significance at the 1 percent level over the other treatments. Therefore, NPK rates of 6-30-40 kg/10a would be the most optimal rates for maximum production of ladino clover. 3. Orchard grass yield showed significance at the 1 percent level among other treatments except treatment 3 and 4. The highest yield was also shown at treatment 6 where NPK rates applied 40-30-40 kg/10a. 4. Tall fescue yield showed high significance at the 1 percent except treatments between 2 and 3, 5 and 6. The highest yield was observed at treatment 6 where NPK was applied 40-30-40 kilograms per 10a. 5. Nitrogen content of dry matter was 0.91-1.05% in 20 kg of N and 1.05-1.26% in 30-40 kg of N per 10a. The absorption rate of nitrogen applied was 23-31% regardless of the nitrogen level. Potash content of dry matter was increased in accordance with increasing K rates. 6. The gross income was the highest on the N-P-K application of 4-20-30 kg/10a in alfalfa and ladion clover, 40-30-40 kg/10a in orchardgrass and 30-20-20 kg/10a in tall fescus.

• Journal of the Korean Statistical Society
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• v.20 no.2
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• pp.108-117
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• 1991

A parametric empirical Bayes procedure is proposed and studied to compare treatments simultaneously with the best. Minimum Bayes risk lower bounds are derived for an additive loss function, and their relationship with Bayesian simultaneous confidence lower bounds is given. For the proposed empirical Bayes procedure, the nominal confidence level both in Bayesian sense and in frequentist's sense is shown to be controlled asymptotically. For practical implementation, a measure of significance similar to f-value is suggested with an illustrative example.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.05b
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• pp.163-164
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• 2003

Reaction dynamics plays an essential role in understanding the microscopic mechanism of elementary chemical processes at the molecular level. Detailed studies of the reactions of atomic species such as hydrogen and second-row atoms with small closed-shell molecules have provided important insights into hydrocarbon synthesis, combustion, interstellar space and atmospheric chemistry. Despite its mechanistic significance, however, the investigations of atom-radical reaction dynamics are quite scarce in comparison to the extensive studies of atom-molecule reactions. (omitted)

• Journal of Korean Society for Quality Management
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• v.26 no.4
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• pp.239-249
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• 1998

In balanced design of experiment sample size is determined to detect a certain standardized size of effect with power 1-$\beta$ at the level of significance $\alpha$. Tables (Marvin, et al (1970) and Lorenzen and Anderson(1993) and charts (Odeh and Fox(1991)) are available to determine the sample size in balanced design of experiments. To simplify those tables and charts simple MATLAB program is used to find the minimal standardized detectable difference $\delta$ when $\alpha , \beta$ and sample size are given.

• The Korean Journal of Applied Statistics
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• v.25 no.3
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• pp.513-520
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• 2012

An Agresti-Coull type test is considered for the difference of binomial proportions in two doubly sampled data subject to false-positive error. The performance of the test is compared with the likelihood-based tests. It is shown that the Agresti-Coull test has many desirable properties in that it can approximate the nominal significance level with compatible power performance.

• Journal of Ginseng Research
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• v.7 no.2
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• pp.125-132
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• 1983

It was attempted in the present study to determind the effect of Korean ginseng on acute viral(B type) hepatitis by double blind test clinically and the results were as follows. 1. The double blind test of 4 week period showed no statistical significance of the effect of ginseng on the disease. 2. The double blind test of 2 week period, however, showed a significant effect in such clinical symptoms as appetite, stomach ache, headache, chillness dizziness, nausea and vomitting, stool habit change and jaundice. Improvement of the blood serum level of transaminases, bilirubin. alkaline phosphatase and cholesterol Chillness feeding period was observed.

• Communications for Statistical Applications and Methods
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• v.2 no.2
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• pp.330-335
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• 1995

The rebustness of one sample Chi-square test for multivariate normal mean vector is investigated when the multivariate normal population is mixed with another multivariate normal population with differing in the mean vector. Explicit expressions for the level of significance and power of the test are derived. Some numerical results indicate that the Chi-square test procedure is quite robust against slight mixtures of multivariate normal populations differing in location parameters.

• Journal of the Korean Statistical Society
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• v.25 no.3
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• pp.419-432
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• 1996

When interactions are not present in a three-way layout, the lim-iting null distribution of the F statistic for testing main effects when applied to the rank-score transformed data is the same as the limiting null distribution of the usual F statistic when applied to the normal data. The simulation results exhibit that the rank transform test is robust with respect to significance level and powerful for testing main effects in a three-way factorial experiment.

• The Korean Journal of Applied Statistics
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• v.25 no.4
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• pp.697-706
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• 2012

An Agresti-Coull type test is considered for the difference of binomial proportions in two doubly sampled data subject to common false-positive error. The performance of the test is compared with likelihood-based tests. The Agresti-Coull test has many desirable properties in that it can approximate the nominal significance level well, and has comparable power performance with a computational advantage.