Planning, Construction, and Statistical Analysis of Comparative Experiments (eBook)

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.

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.

"...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)