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ch3

Multionariate. ch3. Random Variables. Multionariate Random Variables. 3.2. Probability. mass/density functions. Probability mass/density functions. a) Discrete Multivariate r.v. Definition 3. 4. The joint pmf. Suppose the r.v. X and Y are discrete. is defined by.

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ch3

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  1. Multionariate ch3 Random Variables Multionariate Random Variables

  2. 3.2 Probability mass/density functions Probability mass/density functions

  3. a) Discrete Multivariate r.v Definition 3.4 The joint pmf Suppose the r.v. X and Y are discrete. is defined by

  4. The Joint pmf of X and Y

  5. Solution: Example 3.1 A bag contains 3 black, 2 white and 1 red balls. 2 balls are chosen at random without replacement. Let Find the joint probability mass function

  6. Solution: The Joint cdf of X and Y Example 3.2 The joint pmf of X and Y is given by Find the cdf of X and Y

  7. Definition 3.5 The marginal Suppose the r.v. X and Y are discrete. pmfis defined by The marginal pmfof X and Y

  8. Themarginal cdf of X and Y

  9. Solution: Example 3.3 (Example 3.1) A bag contains 3 black, 2 white and 1 red balls. 2 balls are chosen at random without replacement. Let Find the joint pmf and marginal pmf of

  10. b) Continuous Multivariate r.v. 1) Double integrals How do we calculate the double integral above? ① R is a region bounded by the curves where ② R is a region bounded by the curves where

  11. Example 3.4 Let R is the triangle bounded by Define Find the volume

  12. The nonnegative function is a joint pdf of 2) Joint probability density functions Definition 3.6 the continuous random variable X and Y if for all The properties of f (x , y):

  13. i.e. the joint pdf is the derivative of (2) The relationship between the joint cdf and pdf is with respect to x and y. (3) We can calculate the probability that (X,Y) falls in a rectangle as below

  14. (3) We can calculate the probability that (X,Y) falls in a rectangle as below More generally

  15. The marginal pdf of X and Y The marginal cdf of X and Y

  16. Example 3.5 Let X and Y denote the proportion of time out of one working day that two employees, A and B, spend performing their assigned tasks. The joint pdf of X and Y is given by (3) Find the marginal pdf of X and Y.

  17. 小 结 联合分布 边缘分布

  18. A bag contains 3 black, 2 white and 1 red balls. 2 balls are chosen at random without replacement. Let Find the joint probability mass function The joint pmf of X and Y is given by Solution: 0 1 2 0 3/15 3/15 0 1 2 2/15 6/15 0 1/15 0 0

  19. Solution:

  20. So,the cdf of ( X ,Y )is given by

  21. A bag contains 3 black, 2 white and 1 red balls. 2 balls are chosen at random without replacement. Let Find the joint pmf and marginal pmf of Solution: The joint pmf of X and Y is given by 0 1 2 0 3/15 3/15 0 1 2 2/15 6/15 0 1/15 0 0

  22. 0 1 2 0 3/15 3/15 0 1 2 2/15 6/15 0 1/15 0 0 The marginal distributions of X and Y are

  23. The joint pmf and marginal pmf of X and Y is given by 0 1 2 0 1 2 0 3/15 3/15 + + + + + 2/15 6/15 0 + + + + + 1/15 0 0 + + Joint Marginal

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