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  • 1
    Book
    Book
    Cambridge [u.a.] :Cambridge Univ. Press,
    UID:
    almafu_BV035048907
    Format: XIII, 330 S. : , graph. Darst.
    Edition: 1. publ.
    ISBN: 978-0-521-86506-7 , 978-0-521-68357-9
    Series Statement: Cambridge series in statistical and probalistic mathematics [25]
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Statistik ; Experiment ; Lehrbuch
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9948233529002882
    Format: 1 online resource (xiii, 330 pages) : , digital, PDF file(s).
    ISBN: 9780511611483 (ebook)
    Series Statement: Cambridge series on statistical and probabilistic mathematics ; 25
    Content: This book should be on the shelf of every practising statistician who designs experiments. Good design considers units and treatments first, and then allocates treatments to units. It does not choose from a menu of named designs. This approach requires a notation for units that does not depend on the treatments applied. Most structure on the set of observational units, or on the set of treatments, can be defined by factors. This book develops a coherent framework for thinking about factors and their relationships, including the use of Hasse diagrams. These are used to elucidate structure, calculate degrees of freedom and allocate treatment subspaces to appropriate strata. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. Examples, exercises and discussion questions are drawn from a wide range of real applications: from drug development, to agriculture, to manufacturing.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
    Additional Edition: Print version: ISBN 9780521865067
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Cambridge : Cambridge University Press
    UID:
    gbv_883326582
    Format: 1 Online-Ressource (xiii, 330 pages) , digital, PDF file(s)
    ISBN: 9780511611483
    Series Statement: Cambridge series on statistical and probabilistic mathematics 25
    Content: This book should be on the shelf of every practising statistician who designs experiments. Good design considers units and treatments first, and then allocates treatments to units. It does not choose from a menu of named designs. This approach requires a notation for units that does not depend on the treatments applied. Most structure on the set of observational units, or on the set of treatments, can be defined by factors. This book develops a coherent framework for thinking about factors and their relationships, including the use of Hasse diagrams. These are used to elucidate structure, calculate degrees of freedom and allocate treatment subspaces to appropriate strata. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. Examples, exercises and discussion questions are drawn from a wide range of real applications: from drug development, to agriculture, to manufacturing
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015)
    Additional Edition: ISBN 9780521865067
    Additional Edition: ISBN 9780521683579
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780521865067
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Cambridge ; : Cambridge University Press,
    UID:
    edocfu_9959234683502883
    Format: 1 online resource (xiii, 330 pages) : , digital, PDF file(s).
    ISBN: 1-107-17856-8 , 1-281-37056-8 , 9786611370565 , 0-511-39418-7 , 0-511-39340-7 , 0-511-39209-5 , 0-511-39087-4 , 0-511-61148-X , 0-511-39483-7
    Series Statement: Cambridge series on statistical and probabilistic mathematics
    Content: This book should be on the shelf of every practising statistician who designs experiments. Good design considers units and treatments first, and then allocates treatments to units. It does not choose from a menu of named designs. This approach requires a notation for units that does not depend on the treatments applied. Most structure on the set of observational units, or on the set of treatments, can be defined by factors. This book develops a coherent framework for thinking about factors and their relationships, including the use of Hasse diagrams. These are used to elucidate structure, calculate degrees of freedom and allocate treatment subspaces to appropriate strata. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. Examples, exercises and discussion questions are drawn from a wide range of real applications: from drug development, to agriculture, to manufacturing.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Cover; Half-title; Serire-title; Title; Copyright; Contents; Preface; Chapter 1 Forward look; Chapter 2 Unstructured experiments; Chapter 3 Simple treatment structure; Chapter 4 Blocking; Chapter 5 Factorial treatment structure; Chapter 6 Row-column designs; Chapter 7 Experiments on people and animals; Chapter 8 Small units inside large units; Chapter 9 More about Latin squares; Chapter 10 The calculus of factors; Chapter 11 Incomplete-block designs; Chapter 12 Factorial designs in incomplete blocks; Chapter 13 Fractional factorial designs; Chapter 14 Backward look; Exercises , Sources of examples, questions and exercisesFurther reading; References; Index , English
    Additional Edition: ISBN 0-521-68357-2
    Additional Edition: ISBN 0-521-86506-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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