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Sequential Analysis and Optimal Design

Sequential Analysis and Optimal Design
Author: Herman Chernoff
Publisher: SIAM
Total Pages: 128
Release: 1972-01-31
Genre: Technology & Engineering
ISBN: 0898710065

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An exploration of the interrelated fields of design of experiments and sequential analysis with emphasis on the nature of theoretical statistics and how this relates to the philosophy and practice of statistics.


Optimal Design and Related Areas in Optimization and Statistics

Optimal Design and Related Areas in Optimization and Statistics
Author: Luc Pronzato
Publisher: Springer Science & Business Media
Total Pages: 224
Release: 2010-07-25
Genre: Mathematics
ISBN: 0387799362

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The present volume is a collective monograph devoted to applications of the optimal design theory in optimization and statistics. The chapters re?ect the topics discussed at the workshop “W-Optimum Design and Related Statistical Issues” that took place in Juan-les-Pins, France, in May 2005. The title of the workshop was chosen as a light-hearted celebration of the work of Henry Wynn. It was supported by the Laboratoire I3S (CNRS/Universit ́ e de Nice, Sophia Antipolis), to which Henry is a frequent visitor. The topics covered partly re?ect the wide spectrum of Henry’s research - terests. Algorithms for constructing optimal designs are discussed in Chap. 1, where Henry’s contribution to the ?eld is acknowledged. Steepest-ascent - gorithms used to construct optimal designs are very much related to general gradientalgorithmsforconvexoptimization. Inthelasttenyears,asigni?cant part of Henry’s research was devoted to the study of the asymptotic prop- ties of such algorithms. This topic is covered by Chaps. 2 and 3. The work by Alessandra Giovagnoli concentrates on the use of majorization and stoch- tic ordering, and Chap. 4 is a hopeful renewal of their collaboration. One of Henry’s major recent interests is what is now called algebraic statistics, the application of computational commutative algebra to statistics, and he was partly responsible for introducing the experimental design sub-area, reviewed in Chap. 5. One other sub-area is the application to Bayesian networks and Chap. 6 covers this, with Chap. 7 being strongly related.


Optimal Design

Optimal Design
Author: S. Silvey
Publisher: Springer Science & Business Media
Total Pages: 94
Release: 2013-03-09
Genre: Science
ISBN: 9400959125

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Prior to the 1970's a substantial literature had accumulated on the theory of optimal design, particularly of optimal linear regression design. To a certain extent the study of the subject had been piecemeal, different criteria of optimality having been studied separately. Also to a certain extent the topic was regarded as being largely of theoretical interest and as having little value for the practising statistician. However during this decade two significant developments occurred. It was observed that the various different optimality criteria had several mathematical properties in common; and general algorithms for constructing optimal design measures were developed. From the first of these there emerged a general theory of remarkable simplicity and the second at least raised the possibility that the theory would have more practical value. With respect to the second point there does remain a limiting factor as far as designs that are optimal for parameter estimation are concerned, and this is that the theory assumes that the model be collected is known a priori. This of course underlying data to is seldom the case in practice and it often happens that designs which are optimal for parameter estimation allow no possibility of model validation. For this reason the theory of design for parameter estimation may well have to be combined with a theory of model validation before its practical potential is fully realized. Nevertheless discussion in this monograph is limited to the theory of design optimal for parameter estimation.


Optimum Design 2000

Optimum Design 2000
Author: Anthony Atkinson
Publisher: Springer Science & Business Media
Total Pages: 313
Release: 2013-03-09
Genre: Mathematics
ISBN: 1475734190

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Optimum Design 2000


Optimal Experimental Design with R

Optimal Experimental Design with R
Author: Dieter Rasch
Publisher: CRC Press
Total Pages: 345
Release: 2011-05-18
Genre: Mathematics
ISBN: 1439816980

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Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experi


Principles of Optimal Design

Principles of Optimal Design
Author: Panos Y. Papalambros
Publisher: Cambridge University Press
Total Pages: 416
Release: 2000-07-10
Genre: Mathematics
ISBN: 9780521627276

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Principles of Optimal Design puts the concept of optimal design on a rigorous foundation and demonstrates the intimate relationship between the mathematical model that describes a design and the solution methods that optimize it. Since the first edition was published, computers have become ever more powerful, design engineers are tackling more complex systems, and the term optimization is now routinely used to denote a design process with increased speed and quality. This second edition takes account of these developments and brings the original text thoroughly up to date. The book now includes a discussion of trust region and convex approximation algorithms. A new chapter focuses on how to construct optimal design models. Three new case studies illustrate the creation of optimization models. The final chapter on optimization practice has been expanded to include computation of derivatives, interpretation of algorithmic results, and selection of algorithms and software. Both students and practising engineers will find this book a valuable resource for design project work.


Topics in Optimal Design

Topics in Optimal Design
Author: Erkki P. Liski
Publisher: Springer Science & Business Media
Total Pages: 173
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461300495

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This book covers a wide range of topics in both discrete and continuous optimal designs. The topics discussed include designs for regression models, covariates models, models with trend effects, and models with competition effects. The prerequisites are a basic course in the design and analysis of experiments and some familiarity with the concepts of optimality criteria.