• 제목/요약/키워드: multiple values

검색결과 2,113건 처리시간 0.033초

Constructing Simultaneous Confidence Intervals for the Difference of Proportions from Multivariate Binomial Distributions

  • Jeong, Hyeong-Chul;Kim, Dae-Hak
    • 응용통계연구
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    • 제22권1호
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    • pp.129-140
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    • 2009
  • In this paper, we consider simultaneous confidence intervals for the difference of proportions between two groups taken from multivariate binomial distributions in a nonparametric way. We briefly discuss the construction of simultaneous confidence intervals using the method of adjusting the p-values in multiple tests. The features of bootstrap simultaneous confidence intervals using non-pooled samples are presented. We also compute confidence intervals from the adjusted p-values of multiple tests in the Westfall (1985) style based on a pooled sample. The average coverage probabilities of the bootstrap simultaneous confidence intervals are compared with those of the Bonferroni simultaneous confidence intervals and the Sidak simultaneous confidence intervals. Finally, we give an example that shows how the proposed bootstrap simultaneous confidence intervals can be utilized through data analysis.

부호유향그래프와 동적 부분최소자승법에 기반한 화학공정의 다중이상진단 (Multiple-Fault Diagnosis for Chemical Processes Based on Signed Digraph and Dynamic Partial Least Squares)

  • 이기백;신동일;윤인섭
    • 제어로봇시스템학회논문지
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    • 제9권2호
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    • pp.159-167
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    • 2003
  • This study suggests the hybrid fault diagnosis method of signed digraph (SDG) and partial least squares (PLS). SDG offers a simple and graphical representation for the causal relationships between process variables. The proposed method is based on SDG to utilize the advantage that the model building needs less information than other methods and can be performed automatically. PLS model is built on local cause-effect relationships of each variable in SDG. In addition to the current values of cause variables, the past values of cause and effect variables are inputted to PLS model to represent the Process armies. The measured value and predicted one by dynamic PLS are compared to diagnose the fault. The diagnosis example of CSTR shows the proposed method improves diagnosis resolution and facilitates diagnosis of masked multiple-fault.

A Naive Multiple Imputation Method for Ignorable Nonresponse

  • Lee, Seung-Chun
    • Communications for Statistical Applications and Methods
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    • 제11권2호
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    • pp.399-411
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    • 2004
  • A common method of handling nonresponse in sample survey is to delete the cases, which may result in a substantial loss of cases. Thus in certain situation, it is of interest to create a complete set of sample values. In this case, a popular approach is to impute the missing values in the sample by the mean or the median of responders. The difficulty with this method which just replaces each missing value with a single imputed value is that inferences based on the completed dataset underestimate the precision of the inferential procedure. Various suggestions have been made to overcome the difficulty but they might not be appropriate for public-use files where the user has only limited information for about the reasons for nonresponse. In this note, a multiple imputation method is considered to create complete dataset which might be used for all possible inferential procedures without misleading or underestimating the precision.

Application of Multiple Imputation Method in Analyzing Data with Missing Continuous Covariates

  • Ghasemizadeh Tamar, S.;Ganjali, M.
    • 응용통계연구
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    • 제21권4호
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    • pp.659-664
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    • 2008
  • Missing continuous covariates are pervasive in the use of generalized linear models for medical data. Multiple imputation is the most common and easy-to-do method of dealing with missing covariate data. However, there are always serious warnings in using this method. There should be concern to make imputed values more proper. In this paper, proper imputation from posterior predictive distribution is developed for implementing with arbitrary priors. We use empirical distribution of the posterior for approximating the posterior predictive distribution, to sample from it. This method is preferable in comparison with a presented imputation method of us which uses a full model to impute missing values using available software. The proposed methods are implemented on glucocorticoid data.

다중 다공판 시스템의 흡음성능 예측을 위한 계산모델 개발 (A New Estimation Model of Predicting the Sound Absorption Performance for Multiple Perforated Plate Systems)

  • 허성춘;이동훈;권영필
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 춘계학술대회논문집
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    • pp.877-882
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    • 2002
  • A new estimation model of predicting the sound absorption performance for multiple perforated plate sound absorbing system was developed using transfer matrix method. The proposed method was validated by comparing the calculated absorption coefficients of a single layer perforated plate with the values measured by the two-microphone impedance tube method far various porosity and cavity depth. The developed transfer matrix method was further applied to estimate the multiple layer perforated plates and it is shown that the estimated absorption coefficients generally agree well with the measured values.

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전달행렬법을 이용한 다중 다공판 시스템의 흡음성능 예측 (Estimation of the Sound Absorption Performance for Multiple Layer Perforated Plate Systems by Transfer Matrix Method)

  • 이동훈;허성춘;권영필
    • 한국소음진동공학회논문집
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    • 제12권9호
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    • pp.709-716
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    • 2002
  • A practical method of predicting the sound absorption coefficient for multiple perforated-plate sound absorbing system was developed using transfer matrix method. The proposed method was validated by comparing the calculated absorption coefficients of a single layer perforated plate with the values measured by the two-microphone impedance tube method for various porosity and spacing of the perforated plate. The developed transfer matrix method was further applied to estimate the multiple layer perforated plates and it is shown that the estimated absorption coefficients agree well with the measured values.

다요소를 고려한 다특성치 파라미터 설계 방법 (-The Parameter Design of Multiple Characteristics with Multiple Attributes-)

  • 조용욱;박명규
    • 산업경영시스템학회지
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    • 제23권55호
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    • pp.1-11
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    • 2000
  • Taguchi's robust design methodology has focus only a single characteristic or response, but the quality of most products is seldom defined by a characteristics, and is rather the composite of a family of characteristics which are often interrelated and nearly always measured in a variety of units. The multiple characteristics problem is how to compromise the conflicts among the selected levels of the design parameters for each individual characteristic. In this paper, Methodology using SN ratio optimized by univariate technique is proposed and a parameter design procedure to achieve the optimal compromise among several different response variables is developed. Also, We propose a decision model to incorporates the values assigned by a group of experts on different factors in weighting decision. Using this model, SN ratio of taguchi method for each of subjective factors as well as values of weights are used in this comprehensive method for weighting decision.

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다중 패싯값과 다중 패싯을 위한 컴포넌트의 효율적인 검색 방법 (An efficient Component Retrieval Scheme for multiple facet values and multiple facets)

  • 금영욱
    • 한국컴퓨터정보학회논문지
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    • 제7권3호
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    • pp.16-22
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    • 2002
  • 컴포넌트의 효율적인 검색은 컴포넌트에 기반한 소프트웨어 개발에 필수적이다. 패싯 방식은 컴포넌트 검색 방법의 하나로 많은 연구의 대상이다. 이 논문에서 여러 개의 패싯값에 대한 논리 부정 검색에 사용되는 가중치 신경 접속 행렬을 효율적으로 만드는 새로운 알고리즘을 제안한다. 이 알고리즘을 사용하여 연산에 드는 복잡도를 향상할 수 있다. 또한 여러 개의 서로 다른 패싯을 사용하는 경우 이에 대한 논리적인 검색이 가능하도록 새로운 연산 방법을 제안하다.

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Estimation of p-values with Two Dimensional Null Distributions from Genomic Data Set

  • Yee, Jaeyong;Park, Mira
    • Journal of the Korean Data Analysis Society
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    • 제20권6호
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    • pp.2711-2719
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    • 2018
  • When an observable is described by a single value, the statistic significance may be estimated by construction of null distribution using permutation and counting the portion of it that exceeds the observed value by chance. Genome-wide association study usually focuses on the association measure between a single or interacting genotypes with a single phenotype. However investigation of common genotypes associated simultaneously on multiple phenotypes may involve the observables that should be described with multiple numbers. Statistical significance for such an observable would involve null distribution in multiple dimensions. In this study, extension of the p-value estimation process using null distribution in one dimension has been sought that may be applicable to two dimensional case. Comparison of the position of points within the set of points they form has been proposed to use a positioning parameter inspired by the extension of the Kolmogorov-Smirnov statistic to two dimensions.

대학생의 결혼, 성역할, 자녀 가치관에 관한 연구 (University Students' Values on Marriage, Gender Role, and Children)

  • 김미예;송영숙
    • 한국간호교육학회지
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    • 제18권2호
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    • pp.303-311
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    • 2012
  • Purpose: This study was to examine the values of marriage, gender-role and having children, and to explore the factors impacting the values of having children by university students. Methods: A cross-sectional design and structured questionnaires were adopted for data collection of university students in September through November, 2011. Structured questionnaires were based on participants' socio-demographics and scales on values of marriage, gender role and children developed by Young-Mi Park. Descriptive statistics, t-test, one-way ANOVA, Pearson correlation coefficient and hierarchical multiple regression were applied to data analysis. Results: A total of 366 university students participated in this study. Females and nursing students had negative values toward having children and marriage and positive thoughts about the value of gender role. The value of having children was positively associated with marriage (r=.61, p<.001) and negatively with gender role (r=-.11, p<.032). Relationship between gender role and marriage was negative (r=-.28, p<.001). Hierarchical multiple regression found that the value of children was significantly predicted by the value of marriage.