• Title/Summary/Keyword: statistical confidence

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Neural network based modeling of PL intensity in PLD-grown ZnO Thin Films (펄스 레이저 증착법으로 성장된 ZnO 박막의 PL 특성에 대한 신경망 모델링)

  • Ko, Young-Don;Kang, Hong-Seong;Jeong, Min-Chang;Lee, Sang-Yeol;Myoung, Jae-Min;Yun, Ii-Gu
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.07a
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    • pp.252-255
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    • 2003
  • The pulsed laser deposition process modeling is investigated using neural networks based on radial basis function networks and multi-layer perceptron. Two input factors are examined with respect to the PL intensity. In order to minimize the joint confidence region of fabrication process with varying the conditions, D-optimal experimental design technique is performed and photoluminescence intensity is characterized by neural networks. The statistical results were then used to verify the fitness of the nonlinear process model. Based on the results, this modeling methodology can be optimized process conditions for pulsed laser deposition process.

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Bayesian ratio estimation in finite populations (有限 母集團에서 베이지안 比推定)

  • 이석훈;박래현;최종석
    • The Korean Journal of Applied Statistics
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    • v.5 no.1
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    • pp.9-17
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    • 1992
  • In this paper we give a Bayesian approach to problems of estimation for the ratio in finite populations. Adopting the Ericson's superpopulatin approach in which the finite population of size N is viewed as arising form a random sample of N units from some superpopulation. We derive the exact posterior of the ratio under the noninformative prior on superpopulation parameters. Based on our results we compute an exact Bayesian confidence interval and compare this with the existing methods.

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Noise Reduction of a Small D/C Motor using 6 Sigma Process (6 시그마 프로세스를 이용한 소형 직류 모터의 소음 절감)

  • 차원준;최연선
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.05a
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    • pp.509-514
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    • 2002
  • This paper studies on the noise reduction for a small automobile DC Motor (a window motor) using the 6 sigma process. The application of 6 sigma process suggested reliable and valuable statistical data for the quality of the DC motor at the production line. In the measurement step in 6 sigma process, the FMEA(Failure Mode Effect Analysis) were used for the detection of noise sources. The application of 6 sigma process gave not only the improving method for the quality of the DC motor but also the confidence of improvement itself since it was done on the basis of the test results for a number of DC motors at the production line. Consequently the 6 sigma process was proved very effective for the noise reduction at the production line.

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Bioequivalence Test of Rifampicin Preparations(II) (리팜피신 제제의 생물학적 동등성시험(제2보))

  • Chang, Il-Hyo;Burm, Jin-Pil;Choi, Jun-Shik
    • Journal of Pharmaceutical Investigation
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    • v.24 no.2
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    • pp.49-55
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    • 1994
  • Bioequivalence test of commercially available rifampicin capsules was performed. Sixteen volunteers were divided into 2 groups and the reference and test drug were given orally (450 mg) by cross-over design. Statistical evaluation of AUC, $C_{max}\;and\;T_{max}$ involved an analysis of variance (ANOVA). The differences of mean value in AUC, $C_{max}\;and\;T_{max}$ between the reference and test drug were within 20% with reference drug. ANOVA showed no significant differences for ‘between group’, ‘drug’ and ‘period’, but not for ‘between subjects’. The power of test $(1-{\beta})\;of\;AUC\;and\;$C_{max}$ was larger than 0.8 and the confidence of bioavailability was $within\;{\pm}20%$. From these results, it was concluded that the two preparations were bioequivalent for AUC and $C_{max}$, but was not for $T_{max}$.

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System Reliability from Common Random Stress in a Type II Bivariate Pareto Model with Bivariate Type I Censored Data

  • Cho, Jang-Sik;Choi, Seung-Bae
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.3
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    • pp.655-662
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    • 2004
  • In this paper, we assume that strengths of two components system follow a type II bivariate Pareto model with bivariate type I censored data. And these two components are subjected to a common stress which is independent of the strengths of the components. We obtain estimators for the system reliability based on likelihood function and relative frequency, respectively. Also we construct approximated confidence intervals for the reliability based on maximum likelihood estimator and relative frequency estimator, respectively. Finally we present a numerical study.

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Piecewise Regression Model for Solenoid Embedded Inductors Based on the Quasi-newton Method

  • Ko, Young-Don;Kim, Kil-Han;Yun, Il-Gu;Lee, Kyu-Bok;Kim, Jong-Kyu
    • Transactions on Electrical and Electronic Materials
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    • v.6 no.6
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    • pp.256-261
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    • 2005
  • This paper presents that the modeling to predict the characteristics with respect to the performance of solenoid embedded inductors manufactured by LTCC process via the nonlinear regression model based on the quasi-Newton method. In order to reduce the runs, the design of experiments (DOE) was used to generate the design space. The nonlinear process models were constructed by the piecewise regression model based on the quasi-Newton method for estimating the model coefficient with the break point on the statistical confidence intervals. Those models were verified by the model accuracy checking based on the assumption statistically.

Experimental fragility functions for exterior deficient RC beam-column connections before and after rehabilitation

  • Marthong, Comingstarful;Deb, Sajal K.;Dutta, Anjan
    • Earthquakes and Structures
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    • v.10 no.6
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    • pp.1291-1314
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    • 2016
  • The paper presents the development of experimental fragility functions for exterior RC beam-column connections based on results obtained from extensive testing carried out in the present study. Three typical types of seismically deficient beam-column connections, which are commonly prevalent in Indian sub-continent, were considered. These specimens were tested under cyclic displacement histories with different characteristics to induce different damage states. Rehabilitation specific fragility functions for damaged specimens were developed considering drift angle as a demand parameter. Four probability distributions were fit to the data and suitability of each distribution was evaluated using standard statistical method. Specimens with different damage states were rehabilitated appropriately and rehabilitated specimens were tested under similar displacement histories. Fragility functions for rehabilitated specimens have also been developed following similar procedure. Comparison of fragility functions for both original and rehabilitated specimens for each rehabilitation method showed close agreement, which establishes the effectiveness of the adopted rehabilitation strategies and hence would provide confidence in field application.

An Evaluation of Seismicity Parameters in the Korean Peninsula Using EQHAZARD (EQHAZARD를 이용한 한반도 지진 파라미터 추정)

  • 연관희
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 1998.04a
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    • pp.31-38
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    • 1998
  • In this study, statistical analyses implemented in the EPRI EQHAZARD programs were employed to estimate the sismicity parameters in the Korean peninsula based upon an combined Korean earthquake catalog. The combined earthquake catalog was prepared by performing earthquake clustering analysis on the collected earthquake catalogs provided by experts of the seismic panel during the PSA for Yonggwang Units 1 & 2. The duplicate earthquake events and secondary events in earthquake clusters have been successfully screened. The resultant earthquake catalog was analyzed to quantitatively assess the incompleteness of the earthquake catalog for specified earthquake magnitudes and time periods. The result shows that the earthquake catalog of the Korean peninsula is complete for the times periods of 1392 ~ 1750 and 1905 ~ 1989 (AD) and earthquake magnitude above 4.5. The PSHA methodology of EQHAZARD features the estimation of inhomogeneous a-and b-values within a seismic source. This study shows various results of a-and b-value is well constrained lying between o.6 and 1.0. Also the confidence of estimated a-and b-value for a specifed location was assessed by quantifing the uncertainty of these parameters using bootstrap simulation.

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A Statistical Design of Bayesian Two-Stage Reliability Demonstration Test for Product Qualification in Development Process (개발단계의 제품 인증을 위한 베이지언 2단계 신뢰성 실증시험의 통계적 설계)

  • Seo, Sun-Keun
    • Journal of Korean Institute of Industrial Engineers
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    • v.43 no.2
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    • pp.147-153
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    • 2017
  • In order to demonstrate a target reliability with a specified confidence level, a new two-stage Bayesian Reliability Demonstration Test (RDT) plans that is known to be more effective than a corresponding single-stage one is proposed and developed by Bayesian framework with beta prior distribution for Weibull life time distribution. A numerical example is provided to illustrate the proposed RDT plans and compared with other non-Bayesian and Bayesian plans. Comparative results show that the proposed Bayesian two-stage plans have some merits in terms of required and expected testing time and probability of acceptance.

Better Nonparametric Bootstrap Confidence Intervals for Capability Index $C_{pk}$ (공정능력지수 $C_{pk}$에 대한 보다 나은 비모수적 붓스트랩 신뢰구간에 관한 연구)

  • 조중재;김주성;박병선
    • The Korean Journal of Applied Statistics
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    • v.12 no.1
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    • pp.45-65
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    • 1999
  • 공정능력지구 $C_{pk}$는 제조공정이 제품을 제대로 생산하고 있는지를 평가하기 위하여 널리 사용되고 있는 측도이다. 최근까지 공정능력지수 $C_{pk}$에 관한 추정문제들이 만히 연구되었는 바, 대부분의 이러한 연구들은 공정분포가 정규분포임을 가정하였다. 하지만 실제 품질관리 현장의 공정으로부터 얻어지는 특성치들이 정규분포를 따르지 않는 경우가 많이 발생하며, 이를 감지하기가 어려울 수 있다. 따라서 본 논문에서는 공정능력지수 $C_{pk}$에 대한 바람직한 구간추정 방법을 제안하기 위하여 6가지 형태의 비모수적인 붓스트랩 신뢰구간을 설정하고 세 가지 공정분포에 대하여 다양하고 포괄적인 모의실험을 통하여 그 효율성에 관하여 비교연구를 하였다.

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