Practical Data Analysis for Designed Experiments
eBook - ePub

Practical Data Analysis for Designed Experiments

  1. 440 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Practical Data Analysis for Designed Experiments

About this book

Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory. Written in a modern and accessible manner, this book is a useful blend of theory and methods. Exercises included in the text are based on real experiments and real data.

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Yes, you can access Practical Data Analysis for Designed Experiments by Brian S. Yandell in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Halftitle Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Part A: Placing Data in Context
  8. Part B: Working with Groups of Data
  9. Part C: Sorting out Effects with Data
  10. Part D: Dealing with Imbalance
  11. Part E: Questioning Assumptions
  12. Part F: Regressing with Factors
  13. Part G: Deciding on Fixed or Random Effects
  14. Part H: Nesting Experimental Units
  15. Part I: Repeating Measures on Subjects
  16. References
  17. Index