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Generalized linear models for the analysis of taguchi‐type experiments
3 references·16 citing·30 second hop
Generalized linear models for the analysis of taguchi‐type experiments (1991)Generalized linear models for the analysi…Signal-to-Noise Ratios, Performance Criteria, and Transformations (1988)Signal-to-Noise Ratios, Perfo…Quality engineering in japan (1985)Quality engineering in japanUse of Half-Normal Plots in Interpreting Factorial Two-Level Experiments (1959)Use of Half-Normal Plots in I…Modelling robustness for manufacturing processes: a critical review (2013)Modelling robustness for manu…Variance Function Regression in Hierarchical Age-Period-Cohort Models (2011)Variance Function Regression …Generalized beta regression models for random loss-given-default (2011)Generalized beta regression m…Another view of dual response surface modeling and optimization in robust parameter design (2008)Another view of dual response…A Dual-Response Approach to Robust Parameter Design for a Generalized Linear Model (2005)A Dual-Response Approach to R…Robust Design via Generalized Linear Models (2003)Robust Design via Generalized…GLMs for the Analysis of Robust Designs with Dynamic Characteristics (2003)GLMs for the Analysis of Robu…Analysis of Functional Responses from Robust Design Studies (2002)Analysis of Functional Respon…Methods for Identifying Dispersion Effects in Unreplicated Factorial Experiments (2001)Methods for Identifying Dispe…The Impact of Unidentified Location Effects on Dispersion-Effects Identification From Unreplicated Factorial Designs (1999)The Impact of Unidentified Lo…Joint Estimation of Location, Dispersion, and Random Effects in Robust Design (1998)Joint Estimation of Location,…Generalized linear models for the analysis of quality‐improvement experiments (1998)Generalized linear models for…Generalized Linear Models for Quality-Improvement Experiments (1997)Generalized Linear Models for…A Generalized Linear Modeling Approach to Robust Design (1996)A Generalized Linear Modeling…Metamodels for simulation input-output relations (1992)Metamodels for simulation inp…Joint modelling for actuarial graduation and duplicate policies (1992)Joint modelling for actuarial…Empirical Model Building and Response Surfaces (1988)Taguchi's Parameter Design: A Panel Discussion (1992)Response Surface Methodology (1996)Log-Normal Versus Gamma Models for Analyzing Data from Quality-Improvement Experiments (2008)Robust Optimization in Simulation: Taguchi and Krige Combined (2011)Recovery of Inter-Block Information when Block Sizes are Unequal (1971)Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios (1987)Response Surfaces: Designs and Analyses (1997)Model-based robust design for time–pressure fluid dispensing using surrogate modeling (2010)Robust parameter design optimization using Kriging, RBF and RBFNN with gradient-based and evolutionary optimization techniques (2014)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Simulation metamodels (1998)Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming (1999)Simulation optimization using metamodels (2009)Combining Taguchi and Response Surface Philosophies: A Dual Response Approach (1990)Computer Experiments for Quality Control by Parameter Design (1990)On the Experimental Attainment of Optimum Conditions (1951)STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING (1993)A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors (1996)Efficient estimation of conditional variance functions in stochastic regression (1998)Quality Engineering Using Robust Design (1990)Inverse Polynomials, a Useful Group of Multi-Factor Response Functions (1966)Examples of Designed Experiments with Nonnormal Responses (2001)Robust Parameter Design Using Generalized Linear Mixed Models (2006)Quality Engineering in Production Systems (1989)Integrated model for determining the optimal initial settings of the process mean and the optimal production run assuming quadratic loss functions (2004)Principles of robust design methodology (2007)Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments (1962)Quick and Easy Analysis of Unreplicated Factorials (1989)
this work references cited by second hop

References

  • 1959Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments798 cited
  • 1988Signal-to-Noise Ratios, Performance Criteria, and Transformations606 cited
  • 1985Quality engineering in japan152 cited

Cited by

  • 1992Metamodels for simulation input-output relations175 cited
  • 1998Generalized linear models for the analysis of quality‐improvement experiments123 cited
  • 1996A Generalized Linear Modeling Approach to Robust Design109 cited
  • 2003Robust Design via Generalized Linear Models92 cited
  • 1997Generalized Linear Models for Quality-Improvement Experiments78 cited
  • 2002Analysis of Functional Responses from Robust Design Studies63 cited
  • 2008Another view of dual response surface modeling and optimization in robust parameter design58 cited
  • 2011Variance Function Regression in Hierarchical Age-Period-Cohort Models56 cited
  • 2005A Dual-Response Approach to Robust Parameter Design for a Generalized Linear Model53 cited
  • 2011Generalized beta regression models for random loss-given-default51 cited
  • 1998Joint Estimation of Location, Dispersion, and Random Effects in Robust Design51 cited
  • 1999The Impact of Unidentified Location Effects on Dispersion-Effects Identification From Unreplicated Factorial Designs

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51 cited
  • 2003GLMs for the Analysis of Robust Designs with Dynamic Characteristics50 cited
  • 2001Methods for Identifying Dispersion Effects in Unreplicated Factorial Experiments44 cited
  • 2013Modelling robustness for manufacturing processes: a critical review40 cited
  • 1992Joint modelling for actuarial graduation and duplicate policies17 cited