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Applied Optimal Designs

 
 
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Applied Optimal Designs
"There is an increasing need to rein in the cost of scientific study without sacrificing accuracy in statistical inference. Optimal design is the judicious allocation of resources to achieve the objectives of studies using minimal cost via careful statistical planning. Researchers and practitioners in various fields of applied science are now beginning to recognize the advantages and potential of optimal experimental design. Applied Optimal Designs is the first book to catalogue the application of optimal design to real problems, documenting its widespread use across disciplines as diverse as drug development, education and ground water modelling.

Includes contributions covering:

  • Bayesian design for measuring cerebral blood-flow
  • Optimal designs for biological models
  • Computer adaptive testing
  • Ground water modelling
  • Epidemiological studies and pharmacological models

Applied Optimal Designs bridges the gap between theory and practice, drawing together a selection of incisive articles from reputed collaborators. Broad in scope and inter-disciplinary in appeal, this book highlights the variety of opportunities available through the use of optimal design. The wide range of applications presented here should appeal to statisticians working with optimal designs, and to practitioners new to the theory and concepts involved. "



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Title of ebook: Applied Optimal Designs
ISBN: 9780470856994
parent-ISBN: 9780470856970
Publisher: John Wiley & Sons, Ltd.
Internet download file size: 2428 kb
Published: 04-2005
Released online for download: 04-08-2005
Editor: Berger, Martijn
Editor: Wong, Weng-Kee
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Chapter One

Optimal Design in Educational Testing

Steven Buyske

Rutgers University, Department of Statistics, 110 Frelinghuysen Rd, Piscataway, NJ 08854-8019, USA

1.1 Introduction

Formal job testing of individuals goes back more than 3000 years, while formal written tests in education go back some 500 years. Although the earliest paper on optimal design in statistics appeared at about the same time as multiple choice tests appeared, at the beginning of the twentieth century, optimal design theory was first applied to issues arising in standardized testing 40 years ago.

Van der Linden and Hambleton (1997b) suggest thinking of a test as a collection of small experiments (that is, the questions, or items) for which the observations are the test-taker's responses. These observations allow one to infer a measurement of the test-taker's proficiency in the subject of the test. As with most experimental settings, the application of optimal design principles can offer great gains in efficiency, most obviously in shorter tests. Since the cost of producing items can easily exceed US$100 per item, more ef ... read full excerpt from Applied Optimal Designs ebook



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