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  <channel rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18790">
    <title>Repository Collection:</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18790</link>
    <description />
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        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18806" />
        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18804" />
        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18805" />
        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18803" />
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    <dc:date>2026-04-09T22:04:43Z</dc:date>
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  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18806">
    <title>Effective Sample Sizes for the Test of Mean Differences Based on Homogeneity Test</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18806</link>
    <description>Title: Effective Sample Sizes for the Test of Mean Differences Based on Homogeneity Test
Author(s): Sunyeong Heo
Abstract: Many researchers in various study fields use the two sample 􀆒 􀃠test to confirm their treatment effects. The two sample 􀆒 􀃠 test is generally used for small samples, and assumes that two independent random samples are selected from normal populations, and the population variances are unknown. Researchers often conduct 􀂟 􀃠test, the test of equality of variances, before testing the treatment effects, and the test statistic or confidence interval for the two sample 􀆒 􀃠test has two formats according to whether the variances are equal or not. Researchers using the two sample 􀆒 􀃠test often want to know how large sample sizes they need to get reliable test results. This research gives some guidelines for sample sizes to them through simulation works. The simulation had run for normal populations with the different ratios of two variances for different sample sizes (􀀽 􀃐􀃗 ). The simulation results are as follows. First, if one has no idea equality of variances but he/she can assume the difference is moderate, it is safe to use sample size at least 20 in terms of the nominal level of significance. Second, the power of 􀂟 􀃠test for the equality of variances is very low when the sample sizes are small (􀃯 􀃐􀃗) even though the ratio of two variances is equal to 􀃏. Third, the sample sizes at least 􀃎􀃗 for the two sample 􀆒 􀃠 test are recommendable in terms of the nominal level of significance and the error limit.</description>
    <dc:date>2018-12-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18804">
    <title>Numerical Switching Performances of Cumulative Sum Chart for Dispersion Matrix</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18804</link>
    <description>Title: Numerical Switching Performances of Cumulative Sum Chart for Dispersion Matrix
Author(s): Duk-Joon Chang
Abstract: In many cases, the quality of a product is determined by several correlated quality variables. Control charts have been used for a long time widely to control the production process and to quickly detect the assignable causes that may produce any deterioration in the quality of a product. Numerical switching performances of multivariate cumulative sum control chart for simultaneous monitoring all components in the dispersion matrix 􀄰 under multivariate normal process are considered. Numerical performances were evaluated for various shifts of the values of variances and/or correlation coefficients in . Our computational results show that if one wants to quick detect the small shifts in a process, CUSUM control chart with small reference value 􀆉 is more efficient than large 􀆉 in terms of average run length (ARL), average time to signal (ATS), average number of switches (ANSW).</description>
    <dc:date>2018-12-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18805">
    <title>Reactions of 1,1-Dichloro-2,3,4,5-Tetraphenyl-1-Silacyclopentadiene with Magnesium and Lithium</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18805</link>
    <description>Title: Reactions of 1,1-Dichloro-2,3,4,5-Tetraphenyl-1-Silacyclopentadiene with Magnesium and Lithium
Author(s): Jang-Hwan Hong
Abstract: The reaction of 1,1-dichloro-2,3,4,5-tetraphenyl-1-silacyclopentadiene (1) with magnesium-amalgam in THF gave octaphenyl-1,1′-spirobisilole (2), so it was suggested that octaphenyl-1,1′-spirobisilole (2) was produced via the corresponding silolylene species</description>
    <dc:date>2018-12-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18803">
    <title>Effects of Chamaecyparis Obtusa Essential Oil on the Autonomic Nervous System</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18803</link>
    <description>Title: Effects of Chamaecyparis Obtusa Essential Oil on the Autonomic Nervous System
Author(s): Sah-Hoon Park; Han-Seong Jeong; Sujeong Jang; Seong Jin Kim; Jong-Seong Park
Abstract: The purpose of this study is to explore the effects of Chamaecyparis obtusa essential oil on the activity of autonomic nervous system. Heart rate variability (HRV), as an indicator of autonomic nervous system activity and blood pressure were measured before and after inhalation of Chamaecyparis obtusa essential oil. The systolic blood pressure was decreased by inhalation of Chamaecyparis obtusa essential oil (p&amp;lt;0.05). The diastolic blood pressure was not changed significantly by Chamaecyparis obtusa. High frequency (HF) power level was not changed but High frequency/Low frequency (HF/LF) ratio was decreased by Chamaecyparis obtusa essential oil (p&amp;lt;0.05), meaning that parasympathetic nervous system activity was not affected but sympathetic nervous system activity was decreased. These results indicate that Chamaecyparis obtusa essential oil has a modulatory effect on the autonomic nervous system activity.</description>
    <dc:date>2018-12-31T15:00:00Z</dc:date>
  </item>
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