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Understanding and Applying Basic Statistical Methods Using R
book

Understanding and Applying Basic Statistical Methods Using R

by Rand R. Wilcox
June 2016
Beginner
504 pages
14h 23m
English
Wiley
Content preview from Understanding and Applying Basic Statistical Methods Using R

INDEX

  1. adaptive kernel density estimator
  2. additive model
  3. adjacent values
  4. analysis of covariance
  5. analysis of variance
  6. ANCOVA
  7. ANOVA
    1. levels
  8. bar plots
  9. BDM
    1. relative effect
  10. Beal's method
  11. Benjamini– Hochberg method
  12. binary
  13. binomial coefficient
  14. binomial probability function
  15. bootstrap sample
  16. bootstrap-t
  17. boundaries
  18. boxplot
  19. boxplot rule
  20. BPRM method
  21. Brown– Forsythe test
  22. central limit theorem
  23. central tendency
  24. class intervals
  25. Cliff's Method
  26. coefficient of determination
  27. Cohen's d
    1. robust version
  28. confidence coefficient
  29. confidence interval
    1. equal-tailed
    2. symmetric
    3. trimmed mean
    4. Tukey– McLaughlin
  30. confidence level
  31. contaminated normal
  32. continuity correction
  33. control
    1. comparisons with
  34. correlation
    1. Kendall's tau
    2. Pearson
    3. skipped
    4. Spearman
    5. Winsorized
  35. covariate
  36. critical region
  37. critical value
  38. cross-product ratio
  39. CSV file
  40. cumulative distribution function
  41. data frame
  42. density function
  43. dependence
  44. dependent variable
  45. description
  46. descriptive measures
  47. descriptive statistics
  48. design
  49. deviation scores
  50. difference scores
  51. dispersion
  52. distribution
    1. Gaussian
    2. normal
  53. distribution free
  54. distributions, marginal
  55. e
  56. effect size
    1. Cohen's d
    2. common language
    3. explanatory
    4. probabilistic
  57. effect, relative
  58. empirical cumulative distribution function
  59. empirical distribution
  60. error bars
  61. estimate
  62. estimator
    1. unbiased
  63. exp
  64. expected value
  65. explanatory variable
  66. exponential function
  67. false discovery rate
  68. familywise error
  69. five number summary
  70. formula
  71. frequency
  72. Friedman's test
  73. FWE
  74. grand mean
  75. Harrell– Davis estimator
  76. heavy tails
  77. heteroscedasticity ...
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Publisher Resources

ISBN: 9781119061397Purchase book