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Design of comparative experiments / R.A. Bailey.

By: Bailey, R. (Rosemary).
Material type: TextTextSeries: Cambridge series on statistical and probabilistic mathematics. Publisher: Cambridge ; New York : Cambridge University Press, 2008Description: xiii, 330 p. : ill. ; 26 cm.ISBN: 9780521865067 (hbk.); 0521865069 (hbk.); 9780521683579 (pbk.).Subject(s): Experimental designDDC classification: 519.57 Online resources: WorldCat details | E-book Fulltext
Contents:
Table of contents Forward look -- Unstructured experiments -- Simple treatment structure -- Blocking -- Factorial treatment structure -- Row-column designs -- Experiments on people and animals -- Small units inside large units -- More about Latin squares -- The calculus of factors -- Incomplete-block designs -- Factorial designs in incomplete blocks -- Fractional factorial designs -- Backward look.
Summary: Summary: "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 Read more...
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
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Non-fiction 519.57 BAD 2008 (Browse shelf) Not For Loan
Text Text EWU Library
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Includes bibliographical references and index.

Table of contents Forward look --
Unstructured experiments --
Simple treatment structure --
Blocking --
Factorial treatment structure --
Row-column designs --
Experiments on people and animals --
Small units inside large units --
More about Latin squares --
The calculus of factors --
Incomplete-block designs --
Factorial designs in incomplete blocks --
Fractional factorial designs --
Backward look.

Summary:
"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 Read more...

Applied Statistics

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