Transformations of Random Variables

Transformations of Random Variables

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Transformations: Discrete Univariate Random Variables

1 of 35

1 of 35

Transformations: Discrete Univariate Random Variables

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Transformations of Random Variables

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  1. 1 Transformations: Discrete Univariate Random Variables
  2. 2 Transformations: CDF Technique
  3. 3 Transformations: Univariate Change of Variable
  4. 4 Transformations: Multivariate to Univariate CDF Technique
  5. 5 Transformations: Discrete Multivariate Sum of Binomial Random Variables
  6. 6 Transformations: Multivariate Change of Variable
  7. 7 Transformations: Product of Uniform Random Variables
  8. 8 Transformations: Ratio of Standard Normal Random Variables to a Cauchy Random Variable
  9. 9 Transformations: Uniform Random Variable to a Cauchy Random Variable
  10. 10 Transformations: t Random Variable to a Beta Random Variable
  11. 11 Transformations: Sums and Ratios of Gamma Random Variables
  12. 12 Transformations: Derive the Joint pdf of Order Statistics
  13. 13 Transformations: F Random Variable to a Beta Random Variable
  14. 14 Transformations: Sums and Ratios of Exponential Random Variables
  15. 15 Transformations: Sums of Chi square Random Variables
  16. 16 Transformations: Xj has a Continuous and Strictly Increasing CDF
  17. 17 Transformations: X~Unif[0,2] to Y=(X/(1-X))**2
  18. 18 Transformations: Sums of Binomial Random Variables with Unequal Proportions
  19. 19 Linear Transformations of Random Vectors
  20. 20 Orthogonal Transformation of Independent Normal Random Variables
  21. 21 Sample Mean and Variance are Independent if Data are Normal
  22. 22 Ratio of Independent Gamma rv's to a Beta Prime Distribution
  23. 23 Beta Prime Random Variable to a Beta Distribution and Vice Versa
  24. 24 Multivariate Normal Random Variable transformed to a Multivariate Uniform Random Variable
  25. 25 Distribution for the Sum of Negative Binomial Random Variables Using the MGF
  26. 26 Derivation of the Dirichlet Distribution
  27. 27 Distribution of the Mid Range Statistic
  28. 28 Example using Vandermonde's Identity: Sum of 2 Binomial Random Variables w/ Equal p.
  29. 29 Crazy Transformation: y=sin(x)^2 where x~unif(0,2Pi)
  30. 30 Transform 2 Normal RVs to a Rayleigh RV (part 1/2)
  31. 31 Transform 2 Normal RVs to a Rayleigh RV (part 2/2)
  32. 32 Comparing Adverse Event Rates Between Treatment Arms
  33. 33 Joint Distribution of the Mid-Range and the Range
  34. 34 Prove Pearson's Goodness of Fit Test Statistic limits to a Chi-sq Distribution
  35. 35 Show that R & Theta are Independent in Polar Coordinates

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