Francis Giesbrecht, F. Marcia L. Gumpertz

Planning, Construction, and Statistical Analysis of Comparative Experiments

• Gebundenes Buch

Produktbeschreibung

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.

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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

Produktdetails

• Wiley Series in Probability and Statistics
• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 720
• Erscheinungstermin: 1. April 2004
• Englisch
• Abmessung: 240mm x 161mm x 43mm
• Gewicht: 1120g
• ISBN-13: 9780471213956
• ISBN-10: 0471213950
• Artikelnr.: 11454093

Autorenporträt

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.

Inhaltsangabe

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.