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动态特性稳健设计响应面GLM研究 被引量：1

GLM for the study of robust design with dynamic characteristics
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摘要 通过在实验期间将噪声因子视为固定效应,对非齐方差的动态特性稳健设计响应面进行了研究。利用GLM(GeneralizedLinearModeling广义线性模型)对其期望模型和方差模型进行联合估计并给出所考察模型的参数估计及其假设检验方法。 With noise factors regarded as a fixed effect during the experiment, this paper studies a heteroscedastic linear model for robust design with dynamic characteristics, and proposes a joint GLM method for the analysis of its mean model and variance model.
作者 张素梅 师义民
机构地区 西安邮电学院应用数学与物理系 西北工业大学应用数理系
出处 《西安邮电学院学报》 2005年第3期104-106,共3页 Journal of Xi'an Institute of Posts and Telecommunications
基金 国家自然科学基金(项目编号:70471057)
关键词 稳健设计 GLM 动态特性 robust design GLM dynamic characteristics
分类号 O213.1 [理学—概率论与数理统计]
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参考文献6

  • 1Nelder JA, Lee Y. Generalized linear models for the analysis of Taguchi - type experiments [ J ]. Applied Stochastic Models and Data Analysis 1991, (7): 107 -120.
  • 2Aitkin, M. Modeling Variance Heterogeneity in Normal Regression Using GLIM [ J ]. Applied Statistics 1987,(36) :332 - 339.
  • 3J. Engel and Y. Lee. A generalized linear modeling approach to robust design [ J ]. Technometrics, 1996,(38) :365 - 373.
  • 4J. Berube and V. N. Nair,Exploiting the inherent structure in robust parameter design experiments [J].Statistica Sinica, 1998, (8): 44 - 65.
  • 5M.L. Lesperance. GLMS for the Analysis of Robust Designs with Dynamic Charateristics [ J ]. Journal of Quality Technology, 2003, (35) :253 - 263.
  • 6陈希孺.广义线性模型(五)[J].数理统计与管理,2003,22(3):56-63. 被引量：7

二级参考文献3

  • 1L. Fahrmeir. Multivariate Statistical Modeling Based on Generalized Linear Models [M]. New York,Springer-- Verlag, 1994.
  • 2MeCullagh. Generalized Linear Models[M]. London/New York, Chapman & Hill, 1989 2nd edition.
  • 3L. Fahrmeir. Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models[J]. Ann. Statist. , 1985, 342--368.

共引文献6

同被引文献17

  • 1张素梅,师义民.包含噪声因子二阶效应稳健设计响应面GLM研究[J].西安邮电学院学报,2006,11(1):97-98. 被引量：1
  • 2Myers R H, Montgomery D C. A tutorial on generalized linear models [ J]. Journal of Quality Technology, 1997, 29 (3) :274-291.
  • 3Myers R H. Response surface methodology-current status and future directions[ J]. Journal of Quality Technology, 1999, 31(1): 30-74.
  • 4Myers R H, Montgomery D C, Vining G G, et al. Response surface methodology: a retrospective and literature survey [J]. Journal of Quality Technology, 2004, 36(1) :53-77.
  • 5Hamada M, Nelder J A. Generalized linear models for quality-improvement experiments[ J]. Journal of Quality Technology, 1997, 29(3) :292-304.
  • 6Lewis S L, Montgomery D C, Myers R H. Examples of designed experiments with non-normal responses [J]. Journal of Quality Technology, 2001,33 (3) :265-278.
  • 7Brinkley P A, Meyer K P, Lu J C. Combined generalized linear modeling/non-linear programming approach to robust process design: a case-study in circuit board quality improvement [ J ]. Applied Statistics, 1996 (45) :99-110.
  • 8Shore H. Modeling a non-normal response for quality improvement[ J ]. Int. J. PROD. RES, 2001 (39) : 4049- 4063.
  • 9Grego J. Generalized linear models and process variation [J]. Journal of Quality Technology, 1993,25 (4) :288-295.
  • 10Myers W R, Brenneman W A, Myers R H. A dual-response approach to robust parameter design for a generalized linear model [ J ]. Journal of Quality Technology, 2005, 37 ( 2 ) : 130-138.

引证文献1

二级引证文献8

西安邮电学院学报
2005年 第3期

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