Statistical Tables, Explained And Applied
eBook - PDF

Statistical Tables, Explained And Applied

  1. 244 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistical Tables, Explained And Applied

About this book

This book contains several new or unpublished tables, such as one on the significance of the correlation coefficient r, one giving the percentiles of the ?2 statistic for monotonic variation (with two structural models of variation), an extensive table for the number-of-runs test, three tables for the binomial sum of probabilities, and a table of coefficients for the re-conversion of orthogonal polynomials.In the case of the more familiar tables, such as those of the normal integral, or Student's t, Chi-square and F percentiles, all values have been re-computed, occasionally with the authors' own algorithms, using the most accurate methods available today.For each of the fifteen distributions in the book, the authors have gathered the essential information so that interested readers can handle by themselves all phases of the computations.An appendix, containing supplementary examples that pertain to the various tables, helps to complete the authors' review of current hypothesis-testing procedures. A mini-dictionary of often-used concepts and methods, statistical as well as mathematical, completes the book.Besides meeting the needs of practitioners of inferential statistics, this book should be helpful to statistics teachers as well as graduate students, researchers and professionals in scientific computing, who will all find it a rich source of essential data and references on the more important statistical distributions.

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Yes, you can access Statistical Tables, Explained And Applied by Francois-a Dupuis, Louis Laurencelle, Les Edition Le Griffon Dargile 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.

Table of contents

  1. Contents
  2. Introduction
  3. Normal distribution
  4. Chi-square (x2) distribution
  5. Student's t distribution
  6. F distribution
  7. Studentized range (q) distribution
  8. Dunnett's t distribution
  9. E2 (monotonic variation) distribution
  10. Fmax distribution
  11. Cochran's C distribution
  12. Orthogonal polynomials
  13. Binomial distribution
  14. Number-of-runs distribution
  15. Random numbers
  16. Supplementary examples
  17. Mathematical complements
  18. Bibliographical references
  19. Index of examples
  20. General index