Statistics for Experimentalists
eBook - PDF

Statistics for Experimentalists

  1. 324 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistics for Experimentalists

About this book

Statistics for Experimentalists aims to provide experimental scientists with a working knowledge of statistical methods and search approaches to the analysis of data. The book first elaborates on probability and continuous probability distributions. Discussions focus on properties of continuous random variables and normal variables, independence of two random variables, central moments of a continuous distribution, prediction from a normal distribution, binomial probabilities, and multiplication of probabilities and independence. The text then examines estimation and tests of significance. Topics include estimators and estimates, expected values, minimum variance linear unbiased estimators, sufficient estimators, methods of maximum likelihood and least squares, and the test of significance method. The manuscript ponders on distribution-free tests, Poisson process and counting problems, correlation and function fitting, balanced incomplete randomized block designs and the analysis of covariance, and experimental design. The publication is a valuable reference for statisticians and researchers interested in the use of statistical methods.

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Information

Publisher
Pergamon
Year
2014
Print ISBN
9780080126005
eBook ISBN
9781483280523
Topic
Philosophy
Subtopic
Mathematics General

Table of contents

  1. Front Cover
  2. Statistics for Experimentalists
  3. Copyright Page
  4. Table of Contents
  5. PREFACE
  6. CHAPTER 1. INTRODUCTION
  7. CHAPTER 2. PROBABILITY
  8. CHAPTER 3. CONTINUOUS PROBABILITY DISTRIBUTIONS
  9. CHAPTER 4. ESTIMATION
  10. CHAPTER 5. TESTS OF SIGNIFICANCEā€”I
  11. CHAPTER 6. TESTS OF SIGNIFICANCEā€”II
  12. CHAPTER 7. TESTS OF SIGNIFICANCE-III
  13. CHAPTER 8. ANALYSIS OF VARIANCEā€”I. HIERARCHICAL DESIGNS
  14. CHAPTER 9. ANALYSIS OF VARIANCEā€”II. FACTORIAL DESIGNS
  15. CHAPTER 10. EXPERIMENTAL DESIGN
  16. CHAPTER 11. BALANCED INCOMPLETE RANDOMIZED BLOCK DESIGNS AND THE ANALYSIS OF COVARIANCE
  17. CHAPTER 12. CORRELATION AND FUNCTION FITTING
  18. CHAPTER 13. THE POISSON PROCESS AND COUNTING PROBLEMS
  19. CHAPTER 14. DISTRIBUTION-FREE TESTS
  20. HINTS AND ANSWERS TO PROBLEMS
  21. REFERENCES
  22. TABLES SECTION
  23. INDEX

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Yes, you can access Statistics for Experimentalists by B. E. Cooper in PDF and/or ePUB format, as well as other popular books in Philosophy & Mathematics General. We have over one million books available in our catalogue for you to explore.