Overview

The meeting covers theoretical and applied statistics with a heavy emphasis on experimental design. The corresponding approaches are fundamentally based on the idea that a system (object and experiment) has to be described by some mathematical model to make any experimental design reasonable.This proceedings volume consists of three main parts:I. Optimal DesignII. Regression AnalysisIII. Statistical Applications

Full Product Details

Author:   Christos P. Kitsos ,  Werner G. Müller ,  W.G. Mueller
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   illustrated edition
Dimensions:   Width: 21.00cm , Height: 1.60cm , Length: 29.70cm
Weight:   0.822kg
ISBN:  

9783790808643

ISBN 10:   3790808644
Pages:   297
Publication Date:   17 May 1995
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

I Optimal Design.- Optimal Designs for Time—Dependent Responses.- Robust Optimal Designs with Constraints.- Bayesian Designs for Approximate Normality.- Simulation Approach to One-Stage and Sequential Optimal Design Problems.- One Bound for the Mean Duration of Sequential Testing Homogeneity.- MV-optimization in Simple Linear Regression.- On the Support Points of D-Optimal Nonlinear Experimental Designs for Chemical Kinetics.- Designing Experiments for Additive Nonlinear Models.- D-Optimal Designs for Generalized Linear Models.- Further Results on Optimal Designs for Generalized Tic Polynomials on the Simplex.- Relations between Spring and Chemical Balance Weighing Designs with the Diagonal Covariance Matrix of Errors.- Optimal Design for Experiments with Potentially Failing Trials.- Regression Design for One-Dimensional Subspaces.- D-Optimal First Order Saturated Designs with n ? 2mod4 Observations.- On Information Matrices for Fixed and Random Parameters in Generally Balanced Experimental Block Designs.- Estimation of Parameters in Factorial Triallel Analysis for BIB Design — the Mixed Model.- On the Optimality of Certain Nested Block Designs under a Mixed Effects Model.- Construction of A-Optimum Cross-Over Designs.- An Algorithm for Sampling Optimization for Semivariogram Estimation.- II Estimation and Optimization.- Multivariate Transformations, Regression Diagnostics and Seemingly Unrelated Regression.- Regression Rank Scores: Asymptotic Linearity and RR-Estimators.- The Asymptotic Distribution of Regression Parameters.- Some Simulation Results on Cross-Validation and Competitors for Model Choice.- Robust Estimation of Non-linear Aspects.- Robust Minimax Adaptive M-Estimators of Regression Parameters.- Modeling Heterogeneity and Extraneous Variation UsingWeighted Distributions.- Gibbs Sampling for ARCH Models in Finance.- A Class of Recursive Algorithms Using Non-parametric Methods with Constant Step Size and Window Width: A Numerical Study.- Robust Design of Products Depending on Both Qualitative and Quantitative Factors.- Improving on Golden-Section Optimisation for Locally Symmetric Functions.

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