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• catalog abstract ""In this new work, Jeff Wu and Michael Hamada, introduce some of the newest discoveries in the design and analysis of experiments as well as their applications to system optimization, robustness, and treatment comparisons in the diverse field of engineering, technology, agriculture, biology, and medicine." "Drawing on examples from their impressive roster of industrial clients Wu and Hamada modernize accepted methodologies, while presenting many cutting-edge topics for the first time in a single, easily accessible source. These include robust parameter design, reliability improvement, analysis of nonnormal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays."--Jacket.".
• catalog contributor b12502167.
• catalog contributor b12502168.
• catalog created "c2000.".
• catalog date "2000".
• catalog date "c2000.".
• catalog dateCopyrighted "c2000.".
• catalog description ""In this new work, Jeff Wu and Michael Hamada, introduce some of the newest discoveries in the design and analysis of experiments as well as their applications to system optimization, robustness, and treatment comparisons in the diverse field of engineering, technology, agriculture, biology, and medicine." "Drawing on examples from their impressive roster of industrial clients Wu and Hamada modernize accepted methodologies, while presenting many cutting-edge topics for the first time in a single, easily accessible source. These include robust parameter design, reliability improvement, analysis of nonnormal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays."--Jacket.".
• catalog description "Includes bibliographical references and index.".
• catalog description "List of Experiments and Data Sets -- Basic Principles and Experiments with a Single Factor -- Introduction and Historical Perspective -- A Systematic Approach to the Planning and Implementation of Experiments -- Fundamental Principles: Replication, Randomization, and Blocking -- The General Linear Model -- Variable Selection in Regression Analysis -- One-Way Layout -- Multiple Comparisons -- Quantitative Factors and Orthogonal Polynomials -- Residual Analysis: Assessment of Model Assumptions -- Experiments With More Than One Factor -- Paired Comparison Design -- Randomized Block Design -- Two-Way Layout -- Two Qualitative Factors -- One Qualitative Factor and One Quantitative Factor -- Two Quantitative Factors -- Multi-Way Layout -- Transformation of the Response -- Latin Square Design: Two Blocking Variables -- Graeco-Latin Square Design -- Balanced Incomplete Block Design -- Analysis of Covariance: Incorporating Auxiliary Information -- Table of Latin Squares, Graeco-Latin Squares, and Hyper-Graeco-Latin Squares -- Full Factorial Experiments at Two Levels -- An Epitaxial Layer Growth Experiment -- Nominal-the-Best Problem and Quadratic Loss Function -- Full Factorial Designs at Two Levels: A General Discussion -- Factorial Effects and Plots -- Main Effects -- Interaction Effects -- Fundamental Principles for Factorial Effects: Hierarchical Ordering, Effect Sparsity, and Effect Heredity -- Using Regression and the Model Matrix to Compute Factorial Effects -- Comparisons with the "One-Factor-at-a-Time" Approach.".
• catalog extent "xxviii, 630 p. :".
• catalog identifier "0471255114 (alk. paper)".
• catalog isPartOf "Wiley series in probability and statistics".
• catalog issued "2000".
• catalog issued "c2000.".
• catalog language "eng".
• catalog publisher "New York : Wiley,".
• catalog subject "519.5 21".
• catalog subject "Experimental design.".
• catalog subject "QA279 .W7 2000".
• catalog subject "Research Design.".
• catalog subject "W 20.5 W959e 2000".
• catalog tableOfContents "List of Experiments and Data Sets -- Basic Principles and Experiments with a Single Factor -- Introduction and Historical Perspective -- A Systematic Approach to the Planning and Implementation of Experiments -- Fundamental Principles: Replication, Randomization, and Blocking -- The General Linear Model -- Variable Selection in Regression Analysis -- One-Way Layout -- Multiple Comparisons -- Quantitative Factors and Orthogonal Polynomials -- Residual Analysis: Assessment of Model Assumptions -- Experiments With More Than One Factor -- Paired Comparison Design -- Randomized Block Design -- Two-Way Layout -- Two Qualitative Factors -- One Qualitative Factor and One Quantitative Factor -- Two Quantitative Factors -- Multi-Way Layout -- Transformation of the Response -- Latin Square Design: Two Blocking Variables -- Graeco-Latin Square Design -- Balanced Incomplete Block Design -- Analysis of Covariance: Incorporating Auxiliary Information -- Table of Latin Squares, Graeco-Latin Squares, and Hyper-Graeco-Latin Squares -- Full Factorial Experiments at Two Levels -- An Epitaxial Layer Growth Experiment -- Nominal-the-Best Problem and Quadratic Loss Function -- Full Factorial Designs at Two Levels: A General Discussion -- Factorial Effects and Plots -- Main Effects -- Interaction Effects -- Fundamental Principles for Factorial Effects: Hierarchical Ordering, Effect Sparsity, and Effect Heredity -- Using Regression and the Model Matrix to Compute Factorial Effects -- Comparisons with the "One-Factor-at-a-Time" Approach.".
• catalog title "Experiments : planning, analysis, and parameter design optimization / C.F. Jeff Wu, Michael Hamada.".
• catalog type "text".