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Practical Statistics Handbook from C.H.I.P.S.

Statistics for Experimenters
Design, Innovation
and Discovery
Second edition
by George Box
Stuart Hunter
William Hunter

Statistics for Experimenters is a classic adapted to modern times!

Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers.

Among the new topics included are:

  • Graphical Analysis of Variance
  • Computer Analysis of Complex Designs
  • Simplification by transformation
  • Hands-on experimentation using Response Service Methods
  • Further development of robust product and process design using split plot arrangements and minimization of error transmission
  • Introduction to Process Control, Forecasting and Time Series
  • Illustrations demonstrating how multi-response problems can be solved using the concepts of active and inert factor spaces and canonical spaces
  • Bayesian approaches to model selection and sequential experimentation

All the computations in the Second Edition can be done utilizing the statistical language R. Functions for displaying ANOVA and lamba plots, Bayesian screening, and model building are all included and R packages are available online. All theses topics can also be applied utilizing easy-to-use commercial software packages.

Contents

  1. Catalizing the Generation of Knowledge.
  2. Basics: probability, Parameters and Statistics.
  3. Comparing Two Entities: Relevant Reference Distributions, Tests and Confidence Intervals.
  4. Comparing a Number of Entities: Randomized Blocks and Latin Squares.
  5. Factorial Designs at Two Levels: Advantages of Experimental Design.
  6. Fraction Factorial Designs: Economy in Experimentation.
  7. Other Fractionals, Analysis and Choosing Follow-up Runs.
  8. Factorial Designs and Data Transformation.
  9. Multiple Sources of Variation: Split Plot Designs, Variance Components and Error Transmission.
  10. Least Squares and Why You Need to Design Experiments.
  11. Modelling Relationships, Sequential Assembly: Basics for Response Surface Methods.
  12. Some Applications of Response Surface Methods.
  13. Designing Robust Products: An Introduction.
  14. Process Control, Forecasting and Times Series: An Introduction.
  15. Evolutionary Process Operation

Index

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Statistics for Experimenters
Design, Innovation, and Discovery
Second edition
by George Box, Stuart Hunter, William Hunter

2005 633 pages $120.95 + shipping
Texas residents please add 6.75 % sales tax

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