{"product_id":"applied-optimal-designs-hardback-9780470856970","title":"Applied Optimal Designs (Hardback) 9780470856970","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eApplied Optimal Designs\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eMartijn P.F. Berger (Edited by), MPF Berger (Author), Weng-Kee Wong (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470856970, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 26 January 2005\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e320 pages\u003cbr\u003e23.5 x 15.8 x 2.2 cm, 0.567 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"The wide range of analytical concepts and applications focused upon here will attract statisticians interested in design theory and researchers in many of the fields in which it is used.\" (\u003ci\u003eJournal of the American Statistical Association\u003c\/i\u003e, March 2006)\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThere 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. \u003ci\u003eApplied Optimal Designs\u003c\/i\u003e 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.  \u003cp\u003eIncludes contributions covering:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eBayesian design for measuring cerebral blood-flow\u003c\/li\u003e \u003cli\u003eOptimal designs for biological models\u003c\/li\u003e \u003cli\u003eComputer adaptive testing\u003c\/li\u003e \u003cli\u003eGround water modelling\u003c\/li\u003e \u003cli\u003eEpidemiological studies and pharmacological models\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eApplied Optimal Designs\u003c\/i\u003e 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eList of Contributors.  \u003cp\u003eEditors’ Foreword.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Optimal Design in Educational Testing\u003c\/b\u003e (Steven Buyske).\u003c\/p\u003e \u003cp\u003e1.1 Introduction.\u003c\/p\u003e \u003cp\u003e1.2 Test Design .\u003c\/p\u003e \u003cp\u003e1.3 Sampling Design.\u003c\/p\u003e \u003cp\u003e1.4 Future Directions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Optimal On-line Calibration of Testlets\u003c\/b\u003e (Douglas H. Jones and Mikhail S. Nediak).\u003c\/p\u003e \u003cp\u003e2.1 Introduction.\u003c\/p\u003e \u003cp\u003e2.2 Background.\u003c\/p\u003e \u003cp\u003e2.3 Solution for Optimal Designs.\u003c\/p\u003e \u003cp\u003e2.4 Simulation Results.\u003c\/p\u003e \u003cp\u003e2.5 Discussion.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 On the Empirical Relevance of Optimal Designs for the Measurement of Preferences\u003c\/b\u003e (Heiko Großmann, Heinz Holling, Michaela Brocke, Ulrike Graßhoff and Rainer Schwabe).\u003c\/p\u003e \u003cp\u003e3.1 Introduction.\u003c\/p\u003e \u003cp\u003e3.2 Conjoint Analysis.\u003c\/p\u003e \u003cp\u003e3.3 Paired Comparison Models in Conjoint Analysis.\u003c\/p\u003e \u003cp\u003e3.4 Design Issues.\u003c\/p\u003e \u003cp\u003e3.5 Experiments.\u003c\/p\u003e \u003cp\u003e3.6 Discussion.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Designing Optimal Two-stage Epidemiological Studies\u003c\/b\u003e (Marie Reilly and Agus Salim).\u003c\/p\u003e \u003cp\u003e4.1 Introduction.\u003c\/p\u003e \u003cp\u003e4.2 Illustrative Examples.\u003c\/p\u003e \u003cp\u003e4.3 Meanscore.\u003c\/p\u003e \u003cp\u003e4.4 Optimal Design and Meanscore.\u003c\/p\u003e \u003cp\u003e4.5 Deriving Optimal Designs in Practice.\u003c\/p\u003e \u003cp\u003e4.6 Summary.\u003c\/p\u003e \u003cp\u003e4.7 Appendix 1 Brief Description of Software Used.\u003c\/p\u003e \u003cp\u003e4.8 Appendix 2 The Optimal Sampling Package.\u003c\/p\u003e \u003cp\u003e4.9 Appendix 3 Using the Optimal Package in R.\u003c\/p\u003e \u003cp\u003e4.10 Appendix 4 Using the Optimal Package in S-Plus.\u003c\/p\u003e \u003cp\u003e4.11 Appendix 5 Using the Optimal Package in STATA.\u003c\/p\u003e \u003cp\u003e5 \u003cb\u003eResponse-Driven Designs in Drug Development\u003c\/b\u003e (Valerii V. Fedorov and Sergei L. Leonov).\u003c\/p\u003e \u003cp\u003e5.1 Introduction.\u003c\/p\u003e \u003cp\u003e5.2 Motivating Example: Quantal Models for Dose Response.\u003c\/p\u003e \u003cp\u003e5.3 Continuous Models.\u003c\/p\u003e \u003cp\u003e5.4 Variance Depending on Unknown Parameters and Multi-response Models.\u003c\/p\u003e \u003cp\u003e5.5 Optimal Designs with Cost Constraints\u003c\/p\u003e \u003cp\u003e5.6 Adaptive Designs\u003c\/p\u003e \u003cp\u003e5.7 Discussion\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Design of Experiments for Microbiological Models\u003c\/b\u003e (Holger Dette, Viatcheslav B. Melas and Nikolay Strigul).\u003c\/p\u003e \u003cp\u003e6.1 Introduction.\u003c\/p\u003e \u003cp\u003e6.2 Experimental Design for Nonlinear Models.\u003c\/p\u003e \u003cp\u003e6.3 Applications of Optimal Experimental Design in Microbiology.\u003c\/p\u003e \u003cp\u003e6.4 Bayesian Methods for Regression Models.\u003c\/p\u003e \u003cp\u003e6.5 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Selected Issues in the Design of Studies of Interrater Agreement\u003c\/b\u003e (Allan Donner and Mekibib Altaye).\u003c\/p\u003e \u003cp\u003e7.1 Introduction.\u003c\/p\u003e \u003cp\u003e7.2 The Choice between a Continuous or Dichotomous Variable.\u003c\/p\u003e \u003cp\u003e7.3 The Choice between a Polychotomous or Dichotomous Outcome Variable.\u003c\/p\u003e \u003cp\u003e7.4 Incorporation of Cost Considerations.\u003c\/p\u003e \u003cp\u003e7.5 Final Comments.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Restricted Optimal Design in the Measurement of Cerebral Blood Flow Using the Kety–Schmidt Technique\u003c\/b\u003e (J.N.S. Matthews and P.W. James).\u003c\/p\u003e \u003cp\u003e8.1 Introduction.\u003c\/p\u003e \u003cp\u003e8.2 The Kety–Schmidt Method.\u003c\/p\u003e \u003cp\u003e8.3 The Statistical Model and Optimality Criteria.\u003c\/p\u003e \u003cp\u003e8.4 Locally Optimal Designs.\u003c\/p\u003e \u003cp\u003e8.5 Bayesian Designs and Prior Distributions.\u003c\/p\u003e \u003cp\u003e8.6 Optimal Bayesian Designs.\u003c\/p\u003e \u003cp\u003e8.7 Practical Designs.\u003c\/p\u003e \u003cp\u003e8.8 Concluding Remarks.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Optimal Experimental Design for Parameter Estimation and Contaminant Plume Characterization in Groundwater Modelling\u003c\/b\u003e (James McPhee and William W-G. Yeh).\u003c\/p\u003e \u003cp\u003e9.1 Introduction.\u003c\/p\u003e \u003cp\u003e9.2 Groundwater Flow and Mass Transport in Porous Media: Modelling Issues.\u003c\/p\u003e \u003cp\u003e9.3 Problem Formulation.\u003c\/p\u003e \u003cp\u003e9.4 Solution Algorithms.\u003c\/p\u003e \u003cp\u003e9.5 Case Studies.\u003c\/p\u003e \u003cp\u003e9.6 Summary and Conclusions.\u003c\/p\u003e \u003cp\u003e1\u003cb\u003e0 The Optimal Design of Blocked Experiments in Industry\u003c\/b\u003e (Peter Goos, Lieven Tack and Martina Vandebroek).\u003c\/p\u003e \u003cp\u003e10.1 Introduction.\u003c\/p\u003e \u003cp\u003e10.2 The Pastry Dough Mixing Experiment.\u003c\/p\u003e \u003cp\u003e10.3 The Problem.\u003c\/p\u003e \u003cp\u003e10.4 Fixed Block Effects Model.\u003c\/p\u003e \u003cp\u003e10.5 Random Block Effects Model.\u003c\/p\u003e \u003cp\u003e10.6 The Pastry Dough Mixing Experiment Revisited.\u003c\/p\u003e \u003cp\u003e10.7 Time Trends and Cost Considerations.\u003c\/p\u003e \u003cp\u003e10.8 Optimal Run Orders for Blocked Experiments.\u003c\/p\u003e \u003cp\u003e10.9 A Time Trend in the Pastry Dough Mixing Experiment.\u003c\/p\u003e \u003cp\u003e10.10 Summary.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52278040461592,"sku":"9780470856970","price":85.35,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470856970.jpg?v=1781457423","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/applied-optimal-designs-hardback-9780470856970","provider":"Freshly Printed Books","version":"1.0","type":"link"}