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|a UAMI
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|a Bose, Mausumi.
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|a Optimal crossover designs /
|c Mausumi Bose, Aloke Dey.
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|a Singapore ;
|a Hackensack, N.J. :
|b World Scientific Pub. Co.,
|c ©2009.
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|a 1 online resource (xii, 225 pages) :
|b illustrations
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336 |
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|a text
|b txt
|2 rdacontent
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|a online resource
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|a Includes bibliographical references (pages 209-222) and index.
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|a 1. Introduction. 1.1. Prologue. 1.2. Notation, terminology and models. 1.3. Information matrices. 1.4. Optimality criteria and tools. 1.5. Outline of the book -- 2. Optimality of balanced and strongly balanced designs. 2.1. Introduction. 2.2. Definitions and some basic results. 2.3. Optimality of balanced uniform designs. 2.4. Optimality of strongly balanced designs. 2.5. Some more optimal designs. 2.6. Constructions -- 3. Some optimal designs with p<t. 3.1. Introduction. 3.2. Designs with p[symbol]t. 3.3. Two-period designs. 3.4. Optimality of Patterson designs. 3.5. Constructions -- 4. Optimal designs via approximate theory. 4.1. Introduction. 4.2. Notation and information matrices. 4.3. Quadratic function for direct effects associated with a sequence. 4.4. Determining a, b and S̄. 4.5. Optimality equations. 4.6. Optimal symmetric designs for direct effects. 4.7. Optimal designs for carryover effects. 4.8. Design efficiency -- 5. Optimality under some other additive models. 5.1. Introduction. 5.2. A model with self and mixed carryover effects. 5.3. A model with carryover effects proportional to direct effects and optimal designs -- 6. Optimality under non-additive models. 6.1. Introduction. 6.2. Correspondence with a factorial experiment. 6.3. Optimality results. 6.4. Optimality under a non-additive random subject effects model. 6.5. Optimality in the presence of higher order carryover effects and interaction -- 7. Some further developments. 7.1. Introduction. 7.2. Optimal two-treatment designs. 7.3. Optimal designs under correlated errors for an arbitrary number of treatments. 7.4. Optimal designs for test-control comparisons. 7.5. Optimal designs with subject dropout. 7.6. Some additional comments.
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|a This monograph presents a comprehensive and up-to-date account of the developments in optimality aspects of crossover designs. Crossover designs are immensely useful in various areas of human investigation including agriculture, animal nutrition, clinical trials, pharmaceutical studies, biological assays, weather modification experiments, sensory evaluation of food products and learning experiments. Research on the optimality aspects of crossover designs has developed only in the last three decades, and it has now emerged as a potential field for further investigation. This book is the first comprehensive treatise on this subject. It covers optimal crossover designs at length by consolidating vast amounts of material from the literature, and includes many recent and deep results. It is expected that this book will not only provide a one-stop reference for the available results, but also encourage further research in this area of substantial practical relevance.
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|a Print version record.
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546 |
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|a English.
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Experimental design.
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650 |
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|a Optimal designs (Statistics)
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650 |
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|a Research Design
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|a Plan d'expérience.
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|a Plans d'expérience optimaux (Statistique)
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|a MATHEMATICS
|x Applied.
|2 bisacsh
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|a MATHEMATICS
|x Probability & Statistics
|x General.
|2 bisacsh
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|a Experimental design
|2 fast
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|a Optimal designs (Statistics)
|2 fast
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700 |
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|a Dey, Aloke.
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710 |
2 |
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|a World Scientific (Firm)
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758 |
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|i has work:
|a Optimal crossover designs (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGFfByVqT4f7rjFJKkPG73
|4 https://id.oclc.org/worldcat/ontology/hasWork
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|z 9812818421
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|i Print version:
|z 9789812818423
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856 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=477113
|z Texto completo
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