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RSM Simplified
(60,000¿ø)
*Design-Expert 7 ¼ÒÇÁÆ®¿þ¾î Æ÷ÇÔ (180ÀÏ »ç¿ë °¡´É) |
RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments
Mark J. Anderson
Patrick J. Whitcomb
ISBN: 1-56327-297-0, 292 pages
Published November 2004, Copyright 2005, Productivity, Inc.
RSM Simplified completely demystifies response surface methods (RSM)—a practical tool for design of experiments. Anyone with minimum technical training can understand and appreciate this book. The authors' simple-and-fun approach is for those who desire knowledge on response surface methods, but dislike the academic nature of other books on the topic. |
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DOE Simplified
(48,000¿ø)
*Design-Ease 6 ¼ÒÇÁÆ®¿þ¾î Æ÷ÇÔ (180ÀÏ »ç¿ë °¡´É) |
DOE Simplified: Practical
Tools for Effective Experimentation
Mark J. Anderson
Patrick J. Whitcomb
ISBN: J-56327-225-3,Alk.
Paper, 231 pages. Published May 2000, Copyright 2000, Productivity,
Inc.
In DOE Simplified—a comprehensive
introductory text geared towards readers with minimal statistical
background—the authors take a fresh and lively approach to
learning the fundamentals of experiment design and analysis.
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Handbook for Experimenters
(6,000¿ø) |
Handbook for Experimenters
Shari L. Kraber
Mark J. Anderson
Patrick J. Whitcomb
Paper,
65 pages
Copyright 2000, Stat-Ease, Inc.
A concise collection of handy tips and statistical tables to help
you set up and analyze your designed experiments. |
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Design
& Analysis of Experiments
(145,000¿ø) |
Design and Analysis
of Experiments, 6th Edition
Douglas C. Montgomery (Arizona State Univ.)
ISBN: 0-471-48735-X
Hardcover,
660 pages
December 2004, John Wiley & Sons, Inc.
This best-seller describes the methods and techniques used
in the design and analysis of experiments. It emphasizes the
connection between the experiment and the model that the experimenter
can develop from the results of the experiment. This new edition
includes a wealth of coverage essential for statisticians, engineers,
and scientists from many fields. |
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Response Surface
methodology
(115,000¿ø) |
Response Surface Methodology:
Process and Product Optimization Using Designed Experiments,
2nd Edition
Raymond H. Myers (Virginia Polytechnic Institute and State
Univ.)
Douglas C. Montgomery (Arizona State Univ.)
ISBN: 0-471-41255-4, Hardcover,
798 pages
Copyright 2002, John Wiley & Sons, Inc.
Coauthored by widely recognized experts in the fields of quality
control and the design of experiments, this book is a practical
guide to Response Surface Methodology (RSM)the process
of identifying and fitting an appropriate response surface model
from experimental data. The authors explain the basics preliminary
to a working understanding of the methods described, as well
as give clear, step-by-step guidance on the use of powerful
statistical and empirical modeling techniques. Numerous real-world
examples help illuminate critical points, and chapter-end problems
help you to gauge your command of the concepts and procedures
described. |
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Experimental Design for Formulation
(125,000¿ø) |
Experimental Design for Formulation
Wendell F. Smith
ISBN: 0-89871-580-6, Paperback, 367 pages
Copyright 2005, The American Statistical Association & the Society for Industrial and Applied Mathematics
Experimental Design for Formulation describes a systematic methodology for formulating products so that they perform according to one's goals, providing scientists and engineers with a fast track to the implementation of the methodology. It contains examples from a wide variety of fields and includes a discussion of how to design experiments for a mixture setting and how to fit and interpret models in a mixture setting. It also introduces process variables, and the combining of mixture and non-mixture variables in a designed experiment. |
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Experiments with
Mixtures
(135,000¿ø) |
Experiments with Mixtures:
Designs, Models, and the Analysis of Mixture Data, 3rd Edition
John A. Cornell (Univ. of Florida)
ISBN: 0-471-39367-3, Hardcover,
649 pages
Copyright 2002, John Wiley & Sons, Inc.
Experiments with Mixtures shows researchers and students how
to design and set up mixture experiments, then analyze the data
and draw inferences from the results. Virtually every technique
that has appeared in the literature of mixtures can be found
here, and computing formulas for each method are provided with
completely worked examples. Almost all of the numerical examples
are taken from real experiments. |
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Engineering Statistics
(140,000¿ø) |
Engineering Statistics, 3rd Edition
Douglas C. Montgomery (Arizona State Univ.)
George C. Runger (Arizona State Univ.)
Norma Faris Hubele (Arizona State Univ.)
ISBN: 0-471-44854-0 Hardcover, 480 pages
Copyright July 2003, John Wiley & Sons, Inc. This book gives a modern treatment of engineering statistics,
focusing on how statistics is integrated into the engineering
problem-solving process. All major aspects of engineering statistics
are covered, including descriptive statistics, statistical test
and confidence intervals for one and two samples, building regression
models, designing and analyzing engineering experiments, statistical
process control, and some probability and probability distributions.
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Statistical
Intervals
(150,000¿ø) |
Statistical Intervals: A Guide for
Practitioners
Gerald J. Hahn (General Electric Company)
William Q. Meeker (Iowa State University)
ISBN: 0-471-88769-2 Hardcover,
392 pages
Copyright 1991, John Wiley & Sons, Inc.
Presents a detailed exposition of statistical intervals and
emphasizes applications in industry. The discussion differentiates
at an elementary level among different kinds of statistical
intervals and gives instruction with numerous examples and simple
math on how to construct such intervals from sample data. |
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