• 제목/요약/키워드: Nested Factors

검색결과 70건 처리시간 0.031초

랜덤, 교차, 지분인자 모형에 의한 고정인자 분할구 실험설계의 생성 (Generation of Split Plot Design of Fixed Factors by Random, Crossed, and Nested Models)

  • 최성운
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2011년도 춘계학술대회
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    • pp.487-493
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    • 2011
  • The paper reviews three Split Plot Designs (SPDs) of fixed factors, and those are SPD (RCBD, RCBD), SPD (CRD, RCBD) and SBD (Split Block Design). RCBD (Randomized Complete Block Design) and CRD (Completely Randomized Design) are used to deploy whole plot and sub plot. The models explained in this study are derived from random, crossed and nested models.

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지분구조의 반복측정 자료에 대한 혼합모형 (A Mixed Model for Nested Structural Repeated Data)

  • 최재성
    • 응용통계연구
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    • 제22권1호
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    • pp.181-188
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    • 2009
  • 본 논문은 실험단위들의 구조적 특성으로 지분관계를 갖는 실험을 행해야 하는 경우를 가정한다. 지분계획하에서 처리를 구성하는 요인으로 반복측정 요인을 고려한다. 반복측정 요인의 수준들이 비확률화에 의해 지분구조의 실험단위들에 배정될 때, 비확률화에 따른 실험의 특성을 감안한 모형으로 복합대칭의 공분산 구조하에서 혼합효과 모형을 논의하고 있다. 처리의 일부 요인들이 시간 또는 공간상의 제약으로 인해 지분구조의 실험단위들에 임의적으로 배정될 수 없을 때, 지분구조의 실험단위들에 대한 반응 값들은 어떤 구조적 상관관계를 나타내는 값들로 관측될 수 있음을 예상할 수 있다. 자료의 구조적 상관성을 고려한 공분산 구조하의 선형모형으로 확률요인과 고정요인을 포함하는 혼합효과의 모형을 제시하고 모형내 미지모수들에 대한 추론방법을 다루고 있다.

Power Comparison in a Balanced Factorial Design with a Nested Factor

  • Choi, Young-Hun
    • Journal of the Korean Data and Information Science Society
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    • 제19권4호
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    • pp.1059-1071
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    • 2008
  • In a balanced factorial design with a nested factor where crossed factors as well as a nested factor exist simultaneously, powers of the rank transformed FR statistic for testing the main, nested and interaction effects are superior to those of the parametric F statistic. In heavy tailed distributions such as exponential and double exponential distributions, powers of the FR statistic show much higher level than those of the F statistic. Further powers of the F and FR statistic for testing the main effect show the highest level in an absolute size as compared with powers of the F and FR statistic for testing the nested and interaction effects. However powers of the FR statistic for testing the nested and interaction effects rather than the main effect are greater in a relative size than powers of F statistic for the all population distributions.

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지분계획의 분산성분 (Variance Components of Nested Designs)

  • 최재성
    • 응용통계연구
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    • 제28권6호
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    • pp.1093-1101
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    • 2015
  • 본 논문은 요인들의 처리구조와 실험단위들의 설계구조에서 지분이 발생하는 경우의 지분계획모형에서 분산성분을 구하는 방법을 다루고 있다. 지분구조의 고정효과와 확률효과 그리고 실험단위들의 지분구조에 따른 오차성분을 포함하는 지분계획모형을 제안하고 있다. 모형내 확률효과의 분산성분과 다수의 오차항에 따른 분산성분을 추정하는 방법으로 상수적합법을 이용하고 있다. 상수적합법에 의한 제1종 제곱합의 계산은 모형의 단계별 적합에서 주어지는 모형행렬의 사영을 이용하고 구하고 있다. 사영을 이용한 변동요인별 제1종 제곱합의 기댓값 계산에 Hartley의 합성법이 이용된다. 단계별 방법에 의한 모형의 순차적 적합은 모형행렬로의 사영공간을 나타내는 사영행렬의 구조를 파악할 수 있는 이점이 있다.

A Continuation-Ratio Logits Mixed Model for Structured Polytomous Data

  • Choi, Jae-Sung
    • Journal of the Korean Data and Information Science Society
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    • 제17권1호
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    • pp.187-193
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    • 2006
  • This paper shows how to use continuation-ratio logits for the analysis of structured polytomous data. Here, response categories are considered to have a nested binary structure. Thus, conditionally nested binary random variables can be defined in each step. Two types of factors are considered as independent variables affecting response probabilities. For the purpose of analyzing categorical data with binary nested strutures a continuation-ratio mixed model is suggested. Estimation procedure for the unknown parameters in a suggested model is also discussed in detail by an example.

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Logistic regression model for major separation rate

  • 최재성
    • Journal of the Korean Data and Information Science Society
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    • 제13권2호
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    • pp.129-138
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    • 2002
  • This paper deals with logistic regression models for analysing separation rates from majors. The model building procedure shows how to incoporate the effects of some factors causing from three-way nested sampling scheme and discusses what type of characteristics as independent variables directly affecting the rates should be considered.

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A cumulative logit mixed model for ordered response data

  • 최재성
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2004년도 춘계학술대회
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    • pp.121-126
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    • 2004
  • This paper discusses about how to build up a mixed-effects model using cumulative logits when there are some factors are fixed and others are random. Random factors are assumed to be coming from a two-way nested design for choosing individuals or experimental units to apply treatments. Estimation procedure for the unknown parameters in a suggested model is also discussed by an illustrated example.

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측정 ANOVA의 분산성분에 의한 게이지 R&R 추정 (Estimation of Gauge R&R by Variance Components of Measurement ANOVA)

  • 최성운
    • 대한안전경영과학회지
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    • 제12권1호
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    • pp.199-205
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    • 2010
  • The research proposes the three-factor random measurement models for estimating the precision about operator, part, tool, and various measurement environments. The combined model with crossed and nested factors is developed to analyze the approximate F test by degrees of freedom given by Satterthwaite and point estimation of precisions from expected mean square. The model developed in this paper can be extended to the three useful models according to the type of nested designs. The study also provides the three-step procedures to evaluate the measurement precisions using three indexes such as SNR(Signal-To-Noise Ratio), R&R TR(Reproducibility&Repeatability-To-Total Precision Ratio), and PTR(Precision-To-Tolerance Ratio), The procedures include the identification of resolution, the improvement of R&R reduction, and the evaluation of precision effect.

Nested 중합효소연쇄반응을 이용하여 활막염 환자의 관절액으로부터 아데노바이러스와 대상포진바이러스의 이중감염과 지속감염의 검출 (Detection of Coinfection and Persistent Infection of Adenovirus and Varicella-Zoster Virus in Synovial Fluids from Synovitis Patients by Nested-PCR)

  • 박혜경;우소연;김현진
    • 대한바이러스학회지
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    • 제30권3호
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    • pp.179-187
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    • 2000
  • The etiology of rheumatic arthritis (RA) is associated with a number of genetic and environmental factors, but is not definitively elucidated. Recently, more attention has been paid to the possibility of microbial etiology in the pathogenesis of RA, because many different infectious agents have been reported to precede the onset or exacerbation of RA. Adenovirus (ADV) may be one cause of persistent or recurrent inflammatory arthritis. Varicella zoster virus (VZV) arthritis is detected frequently in RA patients treated with low dose methotrexate. The demonstration of simultaneous presence of both viral agents of specific viral nucleic acid in synovial fluids from synovitis patients would provide more direct evidence for arthritis etiological relationship, but there are no confirmed results. Therefore, we studied the ability of adenovirus and VZV to establish coinfection and persistent infection in synovial fluid from synovitis patients. The presence of viral agents in the synovial fluid demonstrated by isolation of cell culture, enzyme immunoassay and nested-PCR. The synovial fluids were also investgated for the presence of viral nucleic acid by nested-PCR using specific primer. ADV produced 220 bp and VZV produced 447 bp by each nested-PCR with specific primers. We detected 4/6 cases (66.7%) with persistent infection of ADV and 5/6 cases (83.3%) of VZV with 13 synovial fluids (between 7 to 52 day intervals) from synovitis patients by monoclonal ErA and nested-PCR. 21/28 cases (75%) with coinfection of adenovirus and VZV with synovial fluids from synovitis patients by nested-PCR. ADV and VZV coinfection and persistent infection of synovial fluids may provide a chronic antigenic stimuli to the immune system therefore provoking a continuing inflammatory response and caused the possibility of synovitis and arthritis.

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실험설계 유형별 Venn Diagram을 이용한 EMS 도출 (Derivation of Expected Mean Squares (EMS) Using Venn Diagram by the Type of Experimental Design)

  • 최성운
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2011년도 춘계학술대회
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    • pp.695-699
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    • 2011
  • The study presents an efficient design method of Venn Diagram that can be used when implementing the quality design of experiments based on generalizability theory. The paper examines four mixed and combined models that are designed by fixed factor, random factor, crossed factor and nested factor. The models considered in this research are $A^*{\times}B^*{\times}C$, (B: $A^*$)${\times}C$, $A{\times}B{\times}C$ and (B: A)${\times}C$.

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