DOI QR코드

DOI QR Code

Interblock Information from BIBD Mixed Effects

균형불완비블록설계의 혼합효과에서 블록간 정보

  • Received : 2015.02.10
  • Accepted : 2015.03.12
  • Published : 2015.04.30

Abstract

This paper discusses how to use projections for the analysis of data from balanced incomplete block designs. A model is suggested as a matrix form for the interblock analysis. A second set of treatment effects can be found by projections from the suggested interblock model. The variance and covariance matrix of two estimated vectors of treatment effects is derived. The uncorrelation of two estimated vectors can be verified from their covaraince structure. The fitting constants method is employed for the calculation of block sum of squares adjusted for treatment effects.

본 논문은 균형불완비블록설계(balanced incomplete block design)에서 사영에 근거한 블록내(intrablock) 분석과 블록간(interblock) 분석을 다루고 있다. 블록간 분석을 위한 행렬모형을 제시하고 블록간 추정벡터를 구하는 방법을 다루고 있다. 처리효과의 블록내 추정벡터와 블록간 추정벡터의 분산공분산행렬을 규명하고 공분산행렬의 구조적 특성으로 두 추정벡터 간에 상관성이 없음을 보여주고 있다. 처리효과의 상관성없는 두 추정벡터를 이용한 결합추정에서 가중치를 구하는 방법으로 공분산행렬을 이용할 수 있음을 다루고 있다. 또한 처리효과에 적합된 블록변동량의 계산은 상수적합법을 이용한 블록제곱합과 일치함을 보여주고 있다.

Keywords

References

  1. Choi, J. S. (2011). Type I analysis by projections, The Korean Journal of Applied Statistics, 24, 373-381. https://doi.org/10.5351/KJAS.2011.24.2.373
  2. Choi, J. S. (2012). Type II analysis by projections, Journal of the Korean Data & Information Science Society, 23, 1155-1163. https://doi.org/10.7465/jkdi.2012.23.6.1155
  3. Choi, J. S. (2014). Projection analysis for two-way variance components, Journal of the Korean Data & Information Science Society, 23, 547-554.
  4. Cochran, W. G. and Cox, G. M. (1957). Experimental Designs, John Wiley and Sons, New York.
  5. Davies, O. L. (1956). Design and Analysis of Industrial Experiments, Second edition, Hafner Publishing Company, New York.
  6. Henderson, C. R. (1953). Estimation of variance and covariance components, Biometrics, 9, 226-252. https://doi.org/10.2307/3001853
  7. Hicks, C. R. (1973). Fundamental Concepts in the Design of Experiments, Holt, Rinehart and Winston, New York.
  8. John, P. W. M. (1961). An application of a balanced incomplete block design, Technometrics, 3, 51-54. https://doi.org/10.1080/00401706.1961.10489926
  9. John, P. W. M. (1971). Statistical Design and Analysis of Experiments, The Macmillan Company, New York.
  10. Milliken, G. A. and Johnson, D. E. (1984). Analysis of Messy Data, Van Nostrand Reinhold, New York.
  11. Montgomery, D. C. (1976). Design and Analysis of Experiments, John Wiley and Sons, New York.
  12. Searle, S. R., Casella, G. and McCulloch, C. E. (1992). Variance Components, John Wiley and Sons, New York.
  13. Yates, F. (1936). Incomplete randomized blocks, Annals of Eugenics, 7, 121-140. https://doi.org/10.1111/j.1469-1809.1936.tb02134.x
  14. Yates, F. (1940). The recovery of interblock information in balanced incomplete block designs, Annals of Eugenics, 10, 317-325. https://doi.org/10.1111/j.1469-1809.1940.tb02257.x