Nonparametric Methods in Statistics with SAS Applications

Book description

Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density estimation, and resampling methods.The text begins wit

Table of contents

  1. Front Cover (1/2)
  2. Front Cover (2/2)
  3. Preface
  4. Contents
  5. Chapter 1 - Hypotheses Testing for Two Samples (1/8)
  6. Chapter 1 - Hypotheses Testing for Two Samples (2/8)
  7. Chapter 1 - Hypotheses Testing for Two Samples (3/8)
  8. Chapter 1 - Hypotheses Testing for Two Samples (4/8)
  9. Chapter 1 - Hypotheses Testing for Two Samples (5/8)
  10. Chapter 1 - Hypotheses Testing for Two Samples (6/8)
  11. Chapter 1 - Hypotheses Testing for Two Samples (7/8)
  12. Chapter 1 - Hypotheses Testing for Two Samples (8/8)
  13. Chapter 2 - Hypotheses Testing for Several Samples (1/4)
  14. Chapter 2 - Hypotheses Testing for Several Samples (2/4)
  15. Chapter 2 - Hypotheses Testing for Several Samples (3/4)
  16. Chapter 2 - Hypotheses Testing for Several Samples (4/4)
  17. Chapter 3 - Tests for Categorical Data (1/4)
  18. Chapter 3 - Tests for Categorical Data (2/4)
  19. Chapter 3 - Tests for Categorical Data (3/4)
  20. Chapter 3 - Tests for Categorical Data (4/4)
  21. Chapter 4 - Nonparametric Regression (1/5)
  22. Chapter 4 - Nonparametric Regression (2/5)
  23. Chapter 4 - Nonparametric Regression (3/5)
  24. Chapter 4 - Nonparametric Regression (4/5)
  25. Chapter 4 - Nonparametric Regression (5/5)
  26. Chapter 5 - Nonparametric Generalized Additive Regression (1/5)
  27. Chapter 5 - Nonparametric Generalized Additive Regression (2/5)
  28. Chapter 5 - Nonparametric Generalized Additive Regression (3/5)
  29. Chapter 5 - Nonparametric Generalized Additive Regression (4/5)
  30. Chapter 5 - Nonparametric Generalized Additive Regression (5/5)
  31. Chapter 6 - Time-to-Event Analysis (1/5)
  32. Chapter 6 - Time-to-Event Analysis (2/5)
  33. Chapter 6 - Time-to-Event Analysis (3/5)
  34. Chapter 6 - Time-to-Event Analysis (4/5)
  35. Chapter 6 - Time-to-Event Analysis (5/5)
  36. Chapter 7 - Univariate Probability Density Estimation (1/3)
  37. Chapter 7 - Univariate Probability Density Estimation (2/3)
  38. Chapter 7 - Univariate Probability Density Estimation (3/3)
  39. Chapter 8 - Resampling Methods for Interval Estimation (1/3)
  40. Chapter 8 - Resampling Methods for Interval Estimation (2/3)
  41. Chapter 8 - Resampling Methods for Interval Estimation (3/3)
  42. Appendix A - Tables (1/2)
  43. Appendix A - Tables (2/2)
  44. Appendix B - Answers to Exercises
  45. Recommended Books
  46. Back Cover

Product information

  • Title: Nonparametric Methods in Statistics with SAS Applications
  • Author(s): Olga Korosteleva
  • Release date: August 2013
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781466580633