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MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design Book

MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design
MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design, , MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design has a rating of 4 stars
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MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design, , MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design
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  • MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design
  • Written by author Anthony C. Atkinson
  • Published by Springer-Verlag New York, LLC, September 2007
  • The Fifth International Workshop on Model-Oriented Data Analysis (MODA5) focused on experimental design, particularly optimum design. A strength of this series of workshops is that they bring together leading scientists from "Eastern" and "Western" Europe
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1Optimum Chemical Balance Weighing Designs Under Equal Correlations of Errors3
2E-Optimal Designs for the Double Exponential Model11
3Comparison of Spectral and Hadamard Bounds for D-Optimality21
4Characteristic Polynomial Criteria in Optimal Experimental Design31
5MV-Optimization in Weighted Linear Regression39
6Analytical Theory of E-Optimal Designs for Polynomial Regression on a Segment51
7Optimal Designs for Models with Ignored Heteroscedasticity59
8D-Optimal Designs for Weighted Polynomial Regression Without any Initial Terms67
9Selective Random Search for Optimal Experiment Designs75
10Asymptotic Upper Bounds for the Optimal Design Length in Factor Screening Experiments85
11On the Equal Allocation Rules in Quantal Dose-Response Experiments93
12On Sequential Estimation of Parameters for Linear Regression with Martingale Noise105
13Interval Analysis for Guaranteed Nonlinear Parameter Estimation115
14A Numerical Study of Singularly Perturbed Markovian Systems127
15Breakdown Points of Estimators for Aspects of Linear Models137
16Approximate Densities of Two Bias-Corrected Nonlinear LS Estimators145
17On Robust Estimation of a Correlation Coefficient and Correlation Matrix153
18Designing Experiments for Adaptively Fitted Models165
19Testing Genetic Parameters in the Mixed Model of Triallel Analysis177
20Non-Parametric Search for Significant Variables of a Linear Model187
21Two-Stage Designs for Model Discrimination and Parameter Estimation195
22Determination of the Size of an Experiment205
23Multivariate Prediction: Selection of the Most Informative Components to Measure215
24The Generalized [beta]-Method in Taguchi Experiments223
25Some Statistical Properties of Nested Block Designs231
26A New Interpretation of Design Measures239
27Risk Based Optimal Designs247
28Quality Improvement Through Mechanistic Models259
29Teaching Experimental Design273
30Discussion on "Teaching Experimental Design"283
Index293
List of Contributors297


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