Part A Probability

  1. Definition. Xn → X almost surely (or “with probability 1”) if
    • Image Upload 2
    • Image Upload 4
  2. Definition. Xn → X in probability if
    • for every  > 0,Image Upload 6
    • Image Upload 8
  3. Let F1, F2, . . . and F be the distribution functions of X1, X2, . . . and X respectively.
    Definition. Xn → X in distribution (or weakly), if
    • for every x such that F is continuous at x,Image Upload 10
    • Image Upload 12
  4. which modes of convergence imply which other modes of convergence
    Image Upload 14
  5. state the weak law of large numbers
    Image Upload 16
  6. state markov's inequality
    Image Upload 18
  7. state chebyshev's inequality
    Image Upload 20
  8. state the strong law of large numbers
    Image Upload 22
  9. state the central limit theorem
    Image Upload 24
  10. define PGF
    Image Upload 26
  11. what is the uniqueness theorem for PGFs
    Image Upload 28
  12. what is an MGF
    Image Upload 30
  13. uniqueness theorem (for MGFs)
    Image Upload 32
  14. continuity theorem (for MGFs)
    Image Upload 34
  15. what is the characteristic function
    Image Upload 36
Author
Nat1234
ID
334921
Card Set
Part A Probability
Description
part a prob
Updated