메뉴 건너뛰기




Volumn 30, Issue 1, 1998, Pages 33-39

Random effects linear models for process mean and variance

Author keywords

Bayesian Methods; Quality Control; Random Effects; Robust Design

Indexed keywords

MATHEMATICAL MODELS; PROCESS CONTROL; RANDOM PROCESSES; SENSITIVITY ANALYSIS; SENSORS; STATISTICAL METHODS;

EID: 0031704629     PISSN: 00224065     EISSN: None     Source Type: Journal    
DOI: 10.1080/00224065.1998.11979817     Document Type: Article
Times cited : (12)

References (7)
  • 1
    • 0023586174 scopus 로고
    • Modeling Variance Heterogeneity in Normal Regression Using GLIM
    • AITKIN, M. (1987). "Modeling Variance Heterogeneity in Normal Regression Using GLIM". Applied Statistics 36, pp. 332-339.
    • (1987) Applied Statistics , vol.36 , pp. 332-339
    • Aitkin, M.1
  • 4
    • 0037577779 scopus 로고
    • Generalized Linear Models and Process Variation
    • GREGO, J. M. (1993). "Generalized Linear Models and Process Variation". Journal of Quality Technology 25, pp. 288-295.
    • (1993) Journal of Quality Technology , vol.25 , pp. 288-295
    • Grego, J.M.1
  • 5
    • 0001599656 scopus 로고
    • Empirical Bayes Estimation of Rates in Longitudinal Studies
    • HUI, S. L. and BERGER, J. O. (1983). "Empirical Bayes Estimation of Rates in Longitudinal Studies". Journal of American Statistical Association 78, pp. 753-760.
    • (1983) Journal of American Statistical Association , vol.78 , pp. 753-760
    • Hui, S.L.1    Berger, J.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.