Normal sampling

deejayosamu·2026년 1월 28일

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Univariate case

Suppose X1,,XniidN(μ,σ2)X_1,\cdots,X_n \overset{iid}{\sim} N(\mu,\sigma^2)

Theorem)
XN(μ,σ2n)\overline{X} \sim N(\mu,\frac{\sigma^2}{n})
X ⁣ ⁣ ⁣S,where S=1n1i(XiX)2\overline{X} \perp\!\!\!\perp S, \text{where }S=\frac{1}{n-1}\sum_i (X_i - \overline{X})^2
(n1)S/σ2χn12(n-1)S/ \sigma^2 \sim \chi^2_{n-1}
pf)

dist_of_xbar

indep_of_xbar_y

dist_of_S

✔︎ 독립의 불변성

Suppose X,Y:indep.X,Y: indep.
P(f(X)A,g(Y)B)=P(Xf1(A),Yg1(B))=P(Xf1(A))P(Yg1(B))=P(f(X)A)P(g(Y)B)P(f(X) \in A, g(Y) \in B)=P(X \in f^{-1}(A),Y \in g^{-1}(B))=P(X \in f^{-1}(A))P(Y \in g^{-1}(B))=P(f(X) \in A)P(g(Y) \in B)

Multivariate case

Suppose X1,,XniidNp(μ,σ2)X_1,\cdots,X_n \overset{iid}{\sim} N_p(\mu,\sigma^2)

XNp(μ,1nΣ)\overline{X} \sim N_p(\mu, \frac{1}{n}\Sigma)
X ⁣ ⁣ ⁣S where S=1n1i(XiX)(XiX)T\overline{X} \perp\!\!\!\perp S \text{ where }S=\frac{1}{n-1}\sum_i (X_i - \overline{X})(X_i - \overline{X})^T
③ For any d0Rp,(n1)dTSd/dTΣdχn12d \neq 0 \in \mathbb{R}^p,(n-1)d^T S d / d^T \Sigma d \sim \chi^2_{n-1}
(n1)Sdj=1n1ZjZjT where ZjiidNp(o,Σ)(n-1)S \overset{d}{\equiv} \sum_{j=1}^{n-1} Z_j Z_j^T \text{ where } Z_j \overset{iid}{\sim} N_p(o,\Sigma)
pf)

dist_of_xbar_mul

indep_of_xbar_y_mult

dist_of_S_mult

relationship_S&Z

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