Download - Statistical inference formulasheet

Transcript

Page 1: Statistical inference formulasheet

Statistical Inference

1. P(X = x) = nCx px (1 – p)n – x 2. P(X=x) = e

3. P(X = x) = x x . . . .

4. λ = np 5. Z =

6. P = 7. Z =

8. t = 9. σ2 = -

10. s = 11. S.E(x) =

12. Var(x) = – 13. μ =

14. x = 15. x ± Zα/2

16. ± t 17. W1- α = - Wα

18. M1-α = n1(n1 + n2 +1) – M α 19. E = Zα/2

20. Z = 21. t =

22. Sp = 23. t =

24. 25. ( + Z

26. ( + t 27. + Z

28. t = 29. Sd =

30. d = 31. d.f = n – 1

32. d.f = n1 + n2 – 2 33. d.f = (r – 1) (c – 1)

Page 2: Statistical inference formulasheet

34. Z = 35. Z =

36. PP = 37. X2 = x s2

38. F = 39. (p1–p2)+Z

40. X2 = 41. E =

42. d.f = (k - 1, n - k) 43. RP =

44. Sxx = 45. Sxy =

46. Syy = 47. b1 =

48. b0 = - b1 49. r = Sxy /

50. t = 51. Se =

52. t = 53. β1 ± t

54. SST = 55. SSE = SST – SSTR

56. SSTR = ∑ – 57. r12 =

58. MSE = 59. MSTR =

60. F-Ratio = 61. R1.23 =

62. r12 = 63. SSR =

64. SST = Syy 65. d.f = (n1 – 1) , (n2 – 1)

66. 67. F =

68. SSR = b0Σy + b1 Σx1y + b2 Σx2y -

69. rs = 1 -

70. H = ×Σ - 3(n + 1) 71. X ± A2 R

72. C ± 3 Sc 73. Sc =

74. P ± 3 75. UCLR = D4 R

76. LCLR = D3 R 77. P(X=x) = n-1Cx-1 × px × (1 – p)n-x

Page 3: Statistical inference formulasheet

78. P = 79. σ =

Top Related

Topic 4: Statistical Inference. Outline Statistical inference –confidence intervals –significance tests Statistical inference for β 1 Statistical inference.

Topic 4: Statistical Inference. Outline Statistical inference –confidence intervals –significance tests Statistical inference for β 1 Statistical inference.

Inference in first-order logic Chapter 9. Outline Reducing first-order inference to propositional inference Unification Generalized Modus Ponens Forward.

Inference in first-order logic Chapter 9. Outline Reducing first-order inference to propositional inference Unification Generalized Modus Ponens Forward.

HiGrad: Statistical Inference for Online Learning and ... · HiGrad: Statistical Inference for Online Learning and Stochastic Approximation Weijie J. Su University of Pennsylvania

HiGrad: Statistical Inference for Online Learning and ... · HiGrad: Statistical Inference for Online Learning and Stochastic Approximation Weijie J. Su University of Pennsylvania

Inference and Confidence Intervals

Inference and Confidence Intervals

Can we do statistical inference in a - Purdue Universitychengg/Nonasymptotics.pdf · How far can we go beyond these simple cases? There are some recent results on more complicated

Can we do statistical inference in a - Purdue Universitychengg/Nonasymptotics.pdf · How far can we go beyond these simple cases? There are some recent results on more complicated

Inference in first-order logic - Computer Science | …cobweb.cs.uga.edu/~potter/ArtIntell/FOL-Agts-Inference.pdf• Reducing first-order inference to propositional inference • Unification

Inference in first-order logic - Computer Science | …cobweb.cs.uga.edu/~potter/ArtIntell/FOL-Agts-Inference.pdf• Reducing first-order inference to propositional inference • Unification

Approximate Likelihoods - Statistical Inference, Learning ... · Approximate Bayesian Computation Marin et al., 2010 likelihood is not computable, but we can simulate from the model

Approximate Likelihoods - Statistical Inference, Learning ... · Approximate Bayesian Computation Marin et al., 2010 likelihood is not computable, but we can simulate from the model

EGR 252 Ch. 9 Lecture1 JMB 2014 9th edition Slide 1 Chapter 9: One- and Two- Sample Estimation Statistical Inference Estimation Tests of hypotheses.

EGR 252 Ch. 9 Lecture1 JMB 2014 9th edition Slide 1 Chapter 9: One- and Two- Sample Estimation Statistical Inference Estimation Tests of hypotheses.