Math 2.0

Statistics Interval estimation Problem

Behrens–Fisher problem

Builds on Statistical hypothesis testNormal distributionConfidence interval

Problem

Let X1,…,XmX_1, \dots, X_m be i.i.d. normal 𝒩(μ1,σ12)\mathcal{N}(\mu_1, \sigma_1^2) and let Y1,…,YnY_1, \dots, Y_n be i.i.d. 𝒩(μ2,σ22)\mathcal{N}(\mu_2, \sigma_2^2), independent of the XiX_i. All four parameters are unknown, and σ12=σ22\sigma_1^2 = \sigma_2^2 is not assumed. The problem asks for a test of H0 ⁣:μ1=μ2H_0 \colon \mu_1 = \mu_2 whose type I error probability is exactly α\alpha for all values of σ12\sigma_1^2 and σ22\sigma_2^2. Equivalently, it asks for a confidence interval for μ1−μ2\mu_1 - \mu_2 with exact coverage 1−α1 - \alpha for all values of the variances.

Remarks

The natural statistic is (Xˉ−Yˉ)/S12/m+S22/n(\bar X - \bar Y)/\sqrt{S_1^2/m + S_2^2/n}, where S12S_1^2 and S22S_2^2 are the sample variances. Its law under H0H_0 depends on the unknown ratio σ12/σ22\sigma_1^2/\sigma_2^2, which is the source of the difficulty. If the ratio σ12/σ22\sigma_1^2/\sigma_2^2 is known, a two-sample Student's t-test solves the problem exactly. Welch's test compares the statistic with a t-distribution whose degrees of freedom are estimated from the data; its level is close to α\alpha but not exactly α\alpha in general. Fisher proposed a fiducial solution, and its level as a frequentist test is not exactly α\alpha either.

Reading path

To understand this page from the ground up, read these 75 pages in order. The foundations come first.

  1. Construction of the reals from Cauchy sequences concept
  2. Element definition
  3. Integers object
  4. Ordered field definition
  5. Proposition concept
  6. Random experiment concept
  7. Rational numbers object
  8. Real numbers object
  9. Set definition
  10. Ring of integers statement
  11. Disjunction definition
  12. Implication definition
  13. Predicate definition
  14. Ordered pair definition
  15. Union definition
  16. Sample space definition
  17. The rationals form a field statement
  18. Existential quantifier definition
  19. Universal quantifier definition
  20. Cartesian product definition
  21. Subset definition
  22. The rationals form an ordered field statement
  23. Uniqueness quantifier definition
  24. Binary relation definition
  25. Universal set definition
  26. Order on the reals definition
  27. Power set definition
  28. Complement definition
  29. Function definition
  30. Interval definition
  31. Indicator function definition
  32. Injective function definition
  33. Preimage of a set definition
  34. Sigma-algebra definition
  35. Countable set definition
  36. Event definition
  37. Borel sigma-algebra definition
  38. Probability axioms concept
  39. Probability measure definition
  40. Dirac measure definition
  41. Probability distribution definition
  42. Probability space definition
  43. Conditional probability definition
  44. Random variable definition
  45. Discrete random variable definition
  46. Cumulative distribution function definition
  47. Independence of two events definition
  48. Law of a random variable definition
  49. Standard score definition
  50. Random variable with a density definition
  51. Joint probability distribution definition
  52. Independence of two random variables definition
  53. Mutual independence of events definition
  54. Expected value definition
  55. Identically distributed random variables definition
  56. Probability density function definition
  57. Marginal distribution definition
  58. Variance definition
  59. Independent sigma-algebras definition
  60. Linearity of expectation statement
  61. Density of the normal distribution definition
  62. Independence means the joint law is the product of the marginals statement
  63. Independence of random variables definition
  64. Covariance definition
  65. Normal distribution definition
  66. Expectation of a product of independent random variables statement
  67. Variance of a sum statement
  68. Independent and identically distributed random variables definition
  69. Independent random variables are uncorrelated statement
  70. Statistic definition
  71. Variance of a sum of independent random variables statement
  72. Statistical hypothesis test concept
  73. Sample mean definition
  74. Confidence interval definition
  75. Behrens–Fisher problem problem

Further reading

  1. Web https://en.wikipedia.org/wiki/Behrens%E2%80%93Fisher_problem
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