• 제목/요약/키워드: One way ANOVA

검색결과 4,150건 처리시간 0.032초

One-way ANOVA를 이용한 온라인 게임이용등급과 평균 이벤트 기간과의 관계에 대한 연구 (전체이용가, 12세 이용가, 청소년이용불가 게임을 중심으로) (A Study on the Relationship between Online Game Rating and Average Event Period Using One-way ANOVA)

  • 신대영
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
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    • pp.457-458
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    • 2020
  • 신대영(2018, 2019)의 연구에서 RPG장르를 기준으로 T-test를 활용하여 두 게임간의 평균 이벤트 기간의 차이를 조사, 분석한 결과, 신대영(2018, 2019)의 두 연구 모두 두게임간의 평균 이벤트 기간은 차이가 없음을 알 수 있다. 이에 본 연구에서는 전체이용가, 12세이용가 그리고 청소년이용불가 게임을 선정하여 One-way ANOVA를 이용하여 세 게임간의 평균 차이를 연구하였다. 분산분석 결과, 유의수준 P값이 0.657(P>0.05)로 세 게임간의 이벤트 실시와 관련하여 평균의 차이가 없는 것으로 나타났다.

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ON THE ADMISSIBILITY OF HIERARCHICAL BAYES ESTIMATORS

  • Kim Byung-Hwee;Chang In-Hong
    • Journal of the Korean Statistical Society
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    • 제35권3호
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    • pp.317-329
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    • 2006
  • In the problem of estimating the error variance in the balanced fixed- effects one-way analysis of variance (ANOVA) model, Ghosh (1994) proposed hierarchical Bayes estimators and raised a conjecture for which all of his hierarchical Bayes estimators are admissible. In this paper we prove this conjecture is true by representing one-way ANOVA model to the distributional form of a multiparameter exponential family.

혈관수축에 대한 감초산 Glycyrrhizic acid의 효과 (The Effect of Glycyrrhizic acid on Vascular Contractility)

  • 제현동;민영실
    • 산업융합연구
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    • 제21권10호
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    • pp.57-63
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    • 2023
  • 평활근 수축에 대한 감초산(glycyrrhizic acid)의 효과를 연구하고자 하였고 관련 상세 기전을 결정하기 위해 glycyrrhizic acid가 agonist-sensitive하게 평활근 수축한다는 가설을 제시하였다. S/D rats의 평활근을 수조 내 준비하였고 신호 변환기에서 평활근에 의한 운동 신호가 전기적 신호로 변환되어 생리기록기에 표시되는 데이터는 일원배치 분산분석으로 분석하였다. 재미있게도, 감초산은 불화물, 트롬복산 유사체 등 굵은 미세섬유성 조절성 수축제에 의한 평활근 수축을 중등도로 억제하였고 (농도 0.01, 0.03, 0.1 mM 불화물에서 p=0.113, 0.008, 0.004 (Student's t-test), p=0.113, 0.008, 0.004 (One way ANOVA), 그리고 0.01, 0.03, 0.1 mM 트롬복산 유사체에서 p=0.156, 0.004, 0.003 (Student's t-test), p=0.156, 0.004, 0.003 (One way ANOVA)) 포볼 에스테르 등 가는 미세섬유성 조절성 수축제에 의한 평활근 수축에 대해 효과가 소실되었다 (0.01, 0.03, 0.1 mM 포볼 에스테르에서 p=0.392, 0.086, 0.065 (Student's t-test), p=0.392, 0.086, 0.065 (One way ANOVA)). 이러한 결과는 내피 기능이 억제된 평활근에서 감초산은 평활근 내피에서 EDRF (NO) 생성 효과 외에 주로 ROCK 활성 감소 등 평활근에 대한 직접적 효과를 통해 최종적으로 평활근에서 악틴-미오신 상호작용을 제한하여 평활근을 이완시키는 것으로 생각된다.

Bootstrap Confidence Intervals for Reliability in 1-way ANOVA Random Model

  • Dal Ho Kim;Jang Sik Cho
    • Communications for Statistical Applications and Methods
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    • 제3권1호
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    • pp.87-99
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    • 1996
  • We construct bootstrap confidence intervals for reliability, R= P{X>Y}, where X and Y are independent normal random variables. One way ANOVA random effect models are assumed for the populations of X and Y, where standard deviations $\sigma_{x}$ and $\sigma_{y}$ are unequal. We investigate the accuracy of the proposed bootstrap confidence intervals and classical confidence intervals work better than classical confidence interval for small sample and/or large value of R.

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Matching Conditions for Predicting the Random Effects in ANOVA Models

  • 장인홍
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2006년도 PROCEEDINGS OF JOINT CONFERENCEOF KDISS AND KDAS
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    • pp.1-6
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    • 2006
  • We consider the issue of Bayesian prediction of the unobservable random effects, And we characterize priors that ensure approximate frequentist validity of posterior quantiles of unobservable random effects. Finally we show that the probability matching criteria for prediction of unobservable random effects in one-way random ANOVA model.

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Why do we get Negative Variance Components in ANOVA

  • Lee, Jang-Taek
    • Communications for Statistical Applications and Methods
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    • 제8권3호
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    • pp.667-675
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    • 2001
  • The usefulness of analysis of variance(ANOVA) estimates of variance components is impaired by the frequent occurrence of negative values. The probability of such an occurrence is therefore of interest. In this paper, we investigate a variety of reasons for negative estimates under one way random effects model. It can be shown, through simulation, that this probability increases when the number of treatments is too small for fixed total observations, unbalancedness of data is severe, ratio of variance components is too small, and data may contain many outliers.

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지르코니아 블록 종류에 따른 전부도재관의 기계적 특성 비교 (Comparison of mechanical properties of all ceramic crown on zirconia blocks)

  • 김원영;정인성;전병욱
    • 대한치과기공학회지
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    • 제37권3호
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    • pp.107-113
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    • 2015
  • Purpose: This study provided the basic data for selecting the zirconia blocks by comparing the mechanical properties of the all ceramic crown between the domestic, import, translucent and shade blocks that were used in clinically. Methods: Currently, the most commercial block of five types(one import and two domestic block which is the translucent and shade) were used. It were elucidated by means of three point bending test, hardness test, FE-SEM observations and EDX analysis. The results were analyzed using a one-way ANOVA and Scheffe post hoc test for significant findings. Results: For flexural strength, LT specimen was the highest as 733.1 MPa, followed by JT specimen(712.0 MPa), ZT specimen(646.0 MPa), LS specimen(553.1 MPa), JS specimen(429.0 MPa). One-way ANOVA showed statistically significant difference between groups for flexural strength(p<0.05). For hardness, ZT specimen was the highest as 1556.5 Hv, followed by JT specimen(1540.3 Hv), LT specimen(1512.3 Hv), JS specimen(1472.0 Hv), LS specimen(1353.3 Hv). One-way ANOVA showed statistically significant difference between groups for hardness(p<0.05). Conclusion: Domestic block was higher than import block for flexural strength, and translucent block was higher than shade block for flexural strength. However, all blocks showed clinically acceptable range. There was no significant difference in hardness between domestic and import blocks. And significant difference was observed in translucent and shade blocks.

치의학 연구에서의 표본크기 산출 (Sample size determination in dental research)

  • 임회정
    • 대한치과의사협회지
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    • 제52권9호
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    • pp.558-569
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    • 2014
  • Sample size determination is critical, but not easy to do. Sample size defined as the number of observations in a sample to be studied should be big enough to have a high likelihood of detecting a true difference between groups. Practical procedure for determining sample size, using $G^*$power and previous dental articles, was shown in this study. Examples involving independent t-test, paired t-test, one-way analysis of variance(ANOVA), and one-way repeated-measures(RM) ANOVA were used. The purpose of this study is to enable researchers with non-statistical backgrounds to use in practice freely available statistical software G*power to determine sample size and power.

실험계획법에 의한 러버실 금형가공을 위한 총형공구의 최적설계 (Optimal design of formed tool for die of rubber seals using design of experiments)

  • ;임표;이희관;양균의
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 춘계학술대회 논문집
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    • pp.694-697
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    • 2005
  • The design of experiments are used for optimal design of formed tools to machine automobile bearing rubber seal die, which is classified into the high precision rubber mold. The clearance angle, rake angle and the length cutting edge are considered as the factors. The cutting force is selected to be a characteristic value and compared with the mean tool wear and life by repeated experiments. The design of the experiment is based on the repeated one-way factorial design, which finds the significance of the factors and the best level to predict the tool life by using ANOVA and regression.

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Multiple Comparison for the One-Way ANOVA with the Power Prior

  • Bae, Re-Na;Kang, Yun-Hee;Hong, Min-Young;Kim, Seong-W.
    • Communications for Statistical Applications and Methods
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    • 제15권1호
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    • pp.13-26
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    • 2008
  • Inference on the present data will be more reliable when the data arising from previous similar studies are available. The data arising from previous studies are referred as historical data. The power prior is defined by the likelihood function based on the historical data to the power $a_0$, where $0\;{\le}\;a_0\;{\le}\;1$. The power prior is a useful informative prior for Bayesian inference such as model selection and model comparison. We utilize the historical data to perform multiple comparison in the one-way ANOVA model. We demonstrate our results with some simulated datasets under a simple order restriction between the treatments.