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Field name	Details
Dewey Class	519.2
Title	Design and Analysis of Experiments ([EBook] /) / edited by Angela Dean, Daniel Voss.
Added Personal Name	Dean, Angela editor.
Added Personal Name	Voss, Daniel editor.
Other name(s)	SpringerLink (Online service)
Publication	New York, NY : : Springer New York, , 1999.
Physical Details	XX, 742 p. : online resource.
Series	Springer Texts in Statistics 1431-875X
ISBN	9780387226347
Summary Note	Our initial motivation for writing this book was the observation from various students that the subject of design and analysis of experiments can seem like “a bunch of miscellaneous topics. ”Webelievethattheidenti?cationoftheobjectivesoftheexperimentandthepractical considerations governing the design form the heart of the subject matter and serve as the link between the various analytical techniques. We also believe that learning about design and analysis of experiments is best achieved by the planning, running, and analyzing of a simple experiment. With these considerations in mind, we have included throughout the book the details of the planning stage of several experiments that were run in the course of teaching our classes. The experiments were run by students in statistics and the applied sciences and are suf?ciently simple that it is possible to discuss the planning of the entire experiment in a few pages, and the procedures can be reproduced by readers of the book. In each of these experiments, we had access to the investigators’ actual report, including the dif?culties they came across and how they decided on the treatment factors, the needed number of observations, and the layout of the design. In the later chapters, we have included details of a number of published experiments. The outlines of many other student and published experiments appear as exercises at the ends of the chapters. Complementing the practical aspects of the design are the statistical aspects of the anal ysis. We have developed the theory of estimable functions and analysis of variance with somecare,butatalowmathematicallevel.:
Contents note	Principles and Techniques -- Planning Experiments -- Designs with One Source of Variation -- Inferences for Contrasts and Treatment Means -- Checking Model Assumptions -- 6 Experiments with Two Crossed Treatment Factors -- Several Crossed Treatment Factors -- Polynomial Regression -- Analysis of Covariance -- Complete Block Designs -- Incomplete Block Designs -- Designs with Two Blocking Factors -- Confounded Two-Level Factorial Experiments -- Confounding in General Factorial Experiments -- Fractional Factorial Experiments -- Response Surface Methodology -- Random Effects and Variance Components -- Nested Models -- Split-Plot Designs.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site	http://dx.doi.org/10.1007/b97673
Links to Related Works	Subject References: Mathematics . Probabilities . Probability theory and stochastic processes . Science . Science, general . Statistical Theory and Methods . Statistics . Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences . Authors: Dean, Angela . Voss, Daniel . Corporate Authors: SpringerLink (Online service) . Series: Springer Texts in Statistics . Classification: 519.2 .

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Design and Analysis of Experiments

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