Planning, Construction, and Statistical Analysis of Designed Experiments
(Sprache: Englisch)
The outgrowth of more than 40 years of experience teaching and consulting with students and active researchers in many disciplines, this is a useful guide for both students and active researchers to experimental design. Researchers will find it an...
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The outgrowth of more than 40 years of experience teaching and consulting with students and active researchers in many disciplines, this is a useful guide for both students and active researchers to experimental design. Researchers will find it an invaluable handbook that encapsulates the past 25 years of developments and new techniques for planning and designing experiments. The book also serves as a carefully-crafted text for a second year course in experimental design.
Klappentext zu „Planning, Construction, and Statistical Analysis of Designed Experiments “
At once a comprehensive handbook for the active researcher and a thorough introduction for the advanced student, this reference provides:* Coverage of wide range of applications, including agricultural sciences, animal and biomedi-cal sciences, and industrial and engineering studies
* Information on new developments in the design of fractional factorials with non-prime numbers of levels in mixed-level fractional factorials
* Detailed information on the construction of plans and the relationships among categories of designs
* Thorough discussion of balanced, partially balanced, lattice, cyclic and alpha-designs
* Accommodations for how to evaluate the power and efficiency of designs that are not perfectly balanced
* Unified and simplified presentation of general forms for estimation and hypothesis testing
At once a comprehensive handbook for the active researcher and a thorough introduction for the advanced student, this reference provides:
- Coverage of wide range of applications, including agricultural sciences, animal and biomedi-cal sciences, and industrial and engineering studies
- Information on new developments in the design of fractional factorials with non-prime numbers of levels in mixed-level fractional factorials
- Detailed information on the construction of plans and the relationships among categories of designs
- Thorough discussion of balanced, partially balanced, lattice, cyclic and alpha-designs
- Accommodations for how to evaluate the power and efficiency of designs that are not perfectly balanced
- Unified and simplified presentation of general forms for estimation and hypothesis testing
- Coverage of wide range of applications, including agricultural sciences, animal and biomedi-cal sciences, and industrial and engineering studies
- Information on new developments in the design of fractional factorials with non-prime numbers of levels in mixed-level fractional factorials
- Detailed information on the construction of plans and the relationships among categories of designs
- Thorough discussion of balanced, partially balanced, lattice, cyclic and alpha-designs
- Accommodations for how to evaluate the power and efficiency of designs that are not perfectly balanced
- Unified and simplified presentation of general forms for estimation and hypothesis testing
Inhaltsverzeichnis zu „Planning, Construction, and Statistical Analysis of Designed Experiments “
Preface.Introduction.
The Completely Randomized Design.
Linear Models for Designed Experiments.
Testing Hypotheses and Determining Sample Size.
Methods of Reducing Unexplained Variation.
Latin Squares.
Split-Plot and Related Designs.
Incomplete Block Designs.
Repeated Teatments Designs.
Factorial Experiments, the 2^n System.
Factorial Experiments, the 3^n System.
Analysis of Experiments Without Designed Error Terms.
Confounding Effects with Blocks.
Fractional Factorial Experiments.
Response Surface Designs.
Plackett-Burmann Hadamard Plans.
The General P^n and Nonstandard Factorials.
Factorial Experiments with Quantitative Factors.
Plans for Which Run Order is Important.
Supersaturated Plans.
Sequences of Fractions of Factorials.
Multi-Stage xperiments.
Orthogonal Arrays and Related Structures.
Factorial Plans Derived via Orthogonal Arrays.
Experiments on the Computer.
Autoren-Porträt von Francis Giesbrecht, F. Marcia L. Gumpertz
FRANCIS G. GIESBRECHT, PhD, is Professor Emeritus in the Department of Statistics at North Carolina State University in Raleigh, North Carolina. He earned his PhD in Statistics from the Iowa State University.MARCIA L. GUMPERTZ, PhD, is a professor in the Department of Statistics at North Carolina State University where she also received her PhD in Statistics.
Bibliographische Angaben
- Autoren: Francis Giesbrecht , F. Marcia L. Gumpertz
- 2004, 1. Auflage, 720 Seiten, Maße: 23,8 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0471213950
- ISBN-13: 9780471213956
Sprache:
Englisch
Pressezitat
"...an excellent reference for statisticians and practitioners who would like to gain broad exposure to the tools available for studying relationships between qualitative and quantitative factors..." ( Journal of the American Statistical Association , June 2005)"The level of detail is higher than in most other books on similar topics and therefore makes this one a useful reference tool." ( Short Book Reviews , Vol.25, No.1, April 2005)
"I will instruct statistician reporting to me to get a copy of the book, and will keep the review copy readily available on my shelf..." ( Technometrics , February 2005)
"There is a moderate amount of material that is not in other design books...in addition to some tricks of the trade that appear to be new...practitioners...will find the book useful." ( Journal of Quality Technology , October 2004)
"...an excellent resource handbook for researchers and statisticians, providing them with the tools necessary to construct better experiments and plan more efficient investigations." ( CHOICE , October 2004)
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