Generalized Linear Models for Quality-Improvement Experiments
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[1] J. A. Nelder,et al. Inverse Polynomials, a Useful Group of Multi-Factor Response Functions , 1966 .
[2] P. McCullagh,et al. Generalized Linear Models , 1972, Predictive Analytics.
[3] R. W. Wedderburn. Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method , 1974 .
[4] Murray Aitkin,et al. The Fitting of Exponential, Weibull and Extreme Value Distributions to Complex Censored Survival Data using GLIM , 1980 .
[5] D. Pierce,et al. Residuals in Generalized Linear Models , 1986 .
[6] C. Hellstrand. The necessity of modern quality improvement and some experience with its implementation in the manufacture of rolling bearings , 1989, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.
[7] Jerome Sacks,et al. Computer Experiments for Quality Control by Parameter Design , 1990 .
[8] Nearly Parallel Lines in Residual Plots , 1990 .
[9] John A. Nelder,et al. Generalized linear models for the analysis of Taguchi-type experiments , 1991 .
[10] J. Grego. Generalized Linear Models and Process Variation , 1993 .
[11] S. Bisgaard,et al. QUALITY QUANDARIES∗ : Analysis of Factorial Experiments with Defects or Defectives as the Response , 1994 .