Computational Statistics

Computational Statistics

by Günther Sawitzki
Released January 2009
Publisher(s): Chapman and Hall/CRC
ISBN: 9781420086812

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Book description

Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and computing.

This introduction covers one-sample analysis and distribution diagnostics, regression, two-sample problems and comparison of distributions, and multivariate analysis. It uses a range of examples to demonstrate how R can be employed to tackle statistical problems. In addition, the handy appendix includes a collection of R language elements and functions, serving as a quick reference and starting point to access the rich information that comes bundled with R.

Accessible to a broad audience, this book explores key topics in data analysis, regression, statistical distributions, and multivariate statistics. Full of examples and with a color insert, it helps readers become familiar with R.

Table of contents

  1. Front cover
  2. Introduction (1/2)
  3. Introduction (2/2)
  4. Contents
  5. CHAPTER 1: Basic Data Analysis (1/12)
  6. CHAPTER 1: Basic Data Analysis (2/12)
  7. CHAPTER 1: Basic Data Analysis (3/12)
  8. CHAPTER 1: Basic Data Analysis (4/12)
  9. CHAPTER 1: Basic Data Analysis (5/12)
  10. CHAPTER 1: Basic Data Analysis (6/12)
  11. CHAPTER 1: Basic Data Analysis (7/12)
  12. CHAPTER 1: Basic Data Analysis (8/12)
  13. CHAPTER 1: Basic Data Analysis (9/12)
  14. CHAPTER 1: Basic Data Analysis (10/12)
  15. CHAPTER 1: Basic Data Analysis (11/12)
  16. CHAPTER 1: Basic Data Analysis (12/12)
  17. CHAPTER 2: Regression (1/10)
  18. CHAPTER 2: Regression (2/10)
  19. CHAPTER 2: Regression (3/10)
  20. CHAPTER 2: Regression (4/10)
  21. CHAPTER 2: Regression (5/10)
  22. CHAPTER 2: Regression (6/10)
  23. CHAPTER 2: Regression (7/10)
  24. CHAPTER 2: Regression (8/10)
  25. CHAPTER 2: Regression (9/10)
  26. CHAPTER 2: Regression (10/10)
  27. CHAPTER 3: Comparisons (1/7)
  28. CHAPTER 3: Comparisons (2/7)
  29. CHAPTER 3: Comparisons (3/7)
  30. CHAPTER 3: Comparisons (4/7)
  31. CHAPTER 3: Comparisons (5/7)
  32. CHAPTER 3: Comparisons (6/7)
  33. CHAPTER 3: Comparisons (7/7)
  34. CHAPTER 4: Dimensions 1, 2, 3, . . . , 1 (1/11)
  35. CHAPTER 4: Dimensions 1, 2, 3, . . . , 1 (2/11)
  36. CHAPTER 4: Dimensions 1, 2, 3, . . . , 1 (3/11)
  37. CHAPTER 4: Dimensions 1, 2, 3, . . . , 1 (4/11)
  38. CHAPTER 4: Dimensions 1, 2, 3, . . . , 1 (5/11)
  39. CHAPTER 4: Dimensions 1, 2, 3, . . . , 1 (6/11)
  40. CHAPTER 4: Dimensions 1, 2, 3, . . . , 1 (7/11)
  41. CHAPTER 4: Dimensions 1, 2, 3, . . . , 1 (8/11)
  42. CHAPTER 4: Dimensions 1, 2, 3, . . . , 1 (9/11)
  43. CHAPTER 4: Dimensions 1, 2, 3, . . . , 1 (10/11)
  44. CHAPTER 4: Dimensions 1, 2, 3, . . . , 1 (11/11)
  45. R as a Programming Language and Environment (1/8)
  46. R as a Programming Language and Environment (2/8)
  47. R as a Programming Language and Environment (3/8)
  48. R as a Programming Language and Environment (4/8)
  49. R as a Programming Language and Environment (5/8)
  50. R as a Programming Language and Environment (6/8)
  51. R as a Programming Language and Environment (7/8)
  52. R as a Programming Language and Environment (8/8)
  53. References
  54. Functions and Variables by Topic (1/2)
  55. Functions and Variables by Topic (2/2)
  56. Color Plates (1/2)
  57. Color Plates (2/2)
  58. Back cover

Product information

  • Title: Computational Statistics
  • Author(s): Günther Sawitzki
  • Release date: January 2009
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781420086812