Revision #2313 → #2962 · back to history
9035cf1d4822| Field | From #2313 | To #2962 |
|---|---|---|
| mathlib.decl | ProbabilityTheory.HasGaussianLaw.sum | ProbabilityTheory.iIndepFun.hasGaussianLaw_sum |
| mathlib.module | Mathlib.Probability.Distributions.Gaussian.HasGaussianLaw.Basic | Mathlib.Probability.Distributions.Gaussian.HasGaussianLaw.Independence |
| note | Mathlib proves sums and scalar multiples of Gaussian variables are Gaussian (HasGaussianLaw.sum/smul), but the standardized sample mean as exactly N(0,1) is not assembled. | Mathlib proves that a finite sum of independent Gaussian variables has a Gaussian law (iIndepFun.hasGaussianLaw_sum), but the standardization to exactly N(0,1) as a sampling-distribution statement is not assembled. |
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