• Title/Summary/Keyword: 통계추론

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포아송 반응을 갖는 로그 선형 회귀 모형에 대한 최우추정량과 모의실험 연구

  • 한정혜;조중재
    • Communications for Statistical Applications and Methods
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    • v.2 no.1
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    • pp.22-31
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    • 1995
  • 본 논문에서는 포아송 반응을 갖는 로그 선형 회귀 모형에 붙스트랩 방법을 이용하여, 여러가지 통계적 추론을 위한 유용한 확률적 결과들을 연구.소개하고, 모의실험을 통한 소표본 성질들을 다양하게 제시하고자 한다. 특히 로그 선형 회귀 모형에 대한 최우 추정량 $\hat{\beta_n}$ 및 정보행렬 I(${\beta}_0$)의 추정량들 $I_1(\hat{\beta_n}{\cdot}X)$$I_2(\hat{\beta_n}{\cdot}X)$에 대한 일치성 및 정규성등의 확률적 성질들, 그리고 붙스트랩 방법을 적용한 대표본 성질들과 관련하여 여러가지 모의실험 결과들을 분석.연구하였다.

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마르코프 국면전환모형을 이용한 KOSPI와 금리의 추이 분석

  • 조재범;김호일
    • Communications for Statistical Applications and Methods
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    • v.5 no.1
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    • pp.177-191
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    • 1998
  • Hamilton(1989)은 시계열 변수가 2가지 이상의 국면을 가지고 있을 때, 현재 어떤 국면이 진행되고 있고 향후 진행될 국면이 무엇일까에 대해 추론이 가능한 시계열모형을 소개하였다. Hamilton모형은 시계열이 2개의 독립적인 관찰불가능한 변수의 합으로 구성되어 있고, 이중 한 변수는 2국면 마르코프 확률과정(2-State Markov Stochastic Process)을 따른다고 가정한다. Hamilton모형은 계수의 추정이 단순하면서도 비 대칭성과 조건부 이분산 등과 같은 복잡한 동학(Dynamics)을 용인한다는 장점이 있다(Lam, 1990). 본 연구에서는 마르코프 국면전환모형에 대해 설명한후, 사례분석으로 KOSPI와 금리의 추이에 따라 국면을 정의하여 각 국면의 특징과 타국면과의 연관성 등을 분석하였다.

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The Effect of Geometry Learning through Spatial Reasoning Activities on Mathematical Problem Solving Ability and Mathematical Attitude (공간추론활동을 통한 기하학습이 수학적 문제해결력과 수학적 태도에 미치는 효과)

  • Shin, Keun-Mi;Shin, Hang-Kyun
    • Journal of Elementary Mathematics Education in Korea
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    • v.14 no.2
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    • pp.401-420
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    • 2010
  • The purpose of this research is to find out effectiveness of geometry learning through spatial reasoning activities on mathematical problem solving ability and mathematical attitude. In order to proof this research problem, the controlled experiment was done on two groups of 6th graders in N elementary school; one group went through the geometry learning style through spatial reasoning activities, and the other group went through the general geometry learning style. As a result, the experimental group and the comparing group on mathematical problem solving ability have statistically meaningful difference. However, the experimental group and the comparing group have not statistically meaningful difference on mathematical attitude. But the mathematical attitude in the experimental group has improved clearly after all the process of experiment. With these results we came up with this conclusion. First, the geometry learning through spatial reasoning activities enhances the ability of analyzing, spatial sensibility and logical ability, which is effective in increasing the mathematical problem solving ability. Second, the geometry learning through spatial reasoning activities enhances confidence in problem solving and an interest in mathematics, which has a positive influence on the mathematical attitude.

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Revisited meta-analysis of the effects of practical reasoning instruction on students' achievements in Home Economics classes (가정과수업에서 실천적추론수업의 학생성취에 대한 효과성 연구의 메타분석)

  • Yu, Nan Sook
    • Journal of Korean Home Economics Education Association
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    • v.30 no.3
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    • pp.151-173
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    • 2018
  • The purposes of this study was to identify the magnitude and direction of the effects of Practical Reasoning Instruction (PRI) on students' achievements in Home Economics classes using the meta-analysis method and to examine whether the effects of PRI vary across publication status, study design, year of the studies, school level, gender of students, type of students' achievements, content area, location where the interventions of PRI were conducted, and duration. Thirty-four primary studies with 44 effect sizes were analyzed with calculation method of Becker(1988). A funnel plot method result revealed no publication bias. The results of this meta-analysis are as follows. First, PRI was more effective than traditional instruction on students' achievements. A summary statistic was 0.60 with a standard error of .074, which means that an increase of about two-third of a standard deviation beyond what would be expected from traditional instruction was gained from PRI intervention. Second, categorical and regression analyses were employed to find the sources of variance and moderators that predict the effects of PRI. The moderator analyses revealed no statistically significant effects of publication status, study design, school level, gender of students, type of students' achievements, and duration. Content area, location where the interventions of PRI were revealed to be moderators. It was concluded that PRI was effective in improving students' achievements regardless of publication status, study design, year of the studies, school level, gender of students, type of student achievement, and duration.

Effect of Integrated-Simulation Practice Education on Nursing Students' Communication Ability, Learning Confidence, Clinical Reasoning Competence, and Clinical Performance (통합시뮬레이션 실습 교육이 간호대학생의 의사소통능력, 학습자신감, 임상추론역량, 임상수행능력에 미치는 효과)

  • Mi-Jung Kim;Eun-Ha Na
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.683-692
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    • 2024
  • This study aimed to examine the effects of integrated simulation practice education for nursing college students on their communication skills, self-efficacy in learning, clinical reasoning ability, and clinical performance through a pre-post quasi-experimental design with a single group. The participants were 41 fourth-year nursing college students from a university located in G City, and the intervention took place from September to November 2023 over a period of nine weeks. The collected data were analyzed using SPSS 23.0, and the research findings are as follows. First, after simulation practice education, significant effects were observed in self-efficacy in learning (t=-2.21, p=.033), clinical reasoning ability (t=-2.97, p=.005), and clinical performance (t=-2.84, p=.007), but no significant difference was found in communication skills (t=-.224, p=.824). Second, after simulation classes for nursing students, clinical performance showed significant positive correlations with communication skills (r=.650, p<.001), self-efficacy in learning (r=.440, p<.001), and clinical reasoning ability (r=.824, p<.001). Based on these results, integrated simulation practice education for nursing students appears to be an effective educational method for enhancing their self-efficacy in learning, clinical reasoning ability, and clinical performance. To improve nursing students' clinical performance, it is necessary to operate simulation practices with various scenarios.

Assessment of statistical errors of articles published in the Journal of the Korean Academy of Prosthodontics: 2006 - 2010 (대한치과보철학회지에서 볼 수 있는 통계적 오류의 고찰(2006 - 2010))

  • Kang, Dong-Wan;Seo, Yunam;Oh, Nam-Sik;Lim, Hoi-Jeong
    • The Journal of Korean Academy of Prosthodontics
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    • v.50 no.4
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    • pp.258-270
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    • 2012
  • Purpose: Use of inappropriate statistical methods may lead to incorrect conclusions and a waste of valuable resources. The goal of this study was to assess the frequency and the types of several common statistical errors in the published articles of the Journal of the Korean Academy of Prosthodontics (JKAP) for a 5-year period. Materials and methods: Of 336 articles in the JKAP published from 2006 to 2010, 255 articles using statistics were reviewed and classified by statistical method and year. The frequency and types of the statistical methods were examined, and the statistical errors were evaluated by the appropriateness of the experimental design, assumption check, independent outcomes, proper sample size and suitable use of statistical method. Statistical guidelines were completed based on the appropriateness. Results: Of the 255 articles using statistics, 193 articles (75.9%) used inferential statistics and 153 articles used SPSS statistical software (60.0%). Of the articles using inferential statistics, the three most frequently used statistical methods were ANOVA (41.5%), t-test (20.0%), and the nonparametric method (16.9%). The average rate of statistical errors was 61.2 percent, similar to the rate reported by several studies completed for the medical journal. Conclusion: After the whole analysis of the difference among the groups, post-hoc tests for the pairwise comparisons are required. The optimal sample size calculation is an essential part of this study protocol. To minimize the occurrence of statistical errors, statistical guidelines were developed according to each statistical test procedure and will contribute to the academic improvement in the JKAP.

Assessing Bioequivalence in $3\times3$ Cross-over Design with Unbalanced Data (불균형 자료의 $3\times3$ 교차설계법에서 생물학적 동등성 평가)

  • 임남규;박상규
    • The Korean Journal of Applied Statistics
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    • v.14 no.2
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    • pp.345-355
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    • 2001
  • 동일한 유효성분을 가지면서 용량 혹은 형식 만이 다른 제제의 개발이 증가되고 이에 따른 두 제제 이상의 생물학적 동등성시험의 필요성이 제기되었다. 이에 이용주 등(1998)은 온단세트론 제제에 대한 생물학적 동등시험에서 3$\times$3 교차설계법을 적용하였다. 그러나 3$\times$3 교차설계법에서 각 순서에 피험자의 수가 다르거나 실험중에 결락(dropout)되는 피험자가 발생하는 경우에는 일반적인 통계적 방법은 적용할 수 없었다. 본 연구에서는 이러한 경우에 제제효과의 추론에 대한 통계적 방법과 생물학적 동등성 시험 방법을 제안하고 모의실험을 통하여 생물학적 동등성평가의 정도를 측정하였다.

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A Study on Goodness of Fit Test in Accelerated Life Tests (가속수명시험에 대한 적합도 검정에 관한 연구)

  • Lee, Woo-Dong;Cho, Geon-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.7 no.1
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    • pp.37-46
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    • 1996
  • In this paper, we introduce the goodness of fit test procedure for lifetime distribution using step stress accelerated lifetime data. Using the nonpapametric estimate of acceleration factor, we prove the strong consistence of empirical distribution function under null hypothesis. The critical vailues of Kolmogorov-Smirnov, Anderson-Darling, Cramer-von Mises statistics are computed when the lifetime distibution is assumed to be exponential and Weibull. The power of test statistics are compared through Monte-Cairo simulation study.

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Bayesian analysis of cumulative logit models using the Monte Carlo Gibbs sampling (몬테칼로깁스표본기법을 이용한 누적로짓 모형의 베이지안 분석)

  • 오만숙
    • The Korean Journal of Applied Statistics
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    • v.10 no.1
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    • pp.151-161
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    • 1997
  • An easy Monte Carlo Gibbs sampling approach is suggested for Bayesian analysis of cumulative logit models for ordinal polytomous data. Because in the cumulative logit model the posterior conditional distributions of parameters are not given in convenient forms for random sample generation, appropriate latent variables are introduced into the model so that in the new model all the conditional distributions are given in very convenient forms for implementation of the Gibbs sampler.

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Bayesian Learning for Self Organizing Maps (자기조직화 지도를 위한 베이지안 학습)

  • 전성해;전홍석;황진수
    • The Korean Journal of Applied Statistics
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    • v.15 no.2
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    • pp.251-267
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    • 2002
  • Self Organizing Maps(SOM) by Kohonen is very fast algorithm in neural networks. But it doesn't show sure rules of training results. In this paper, we introduce to Bayesian Learning for Self Organizing Maps(BLSOM) which combines self organizing maps with Bayesian learning. So it supports explanatory power of models and improves prediction. BLSOM has global optima anywhere but SOM has not. This is proved by experiment in this paper.