Lecture
Let be
- independent sampling from the normal distribution, where
- known mean. Define arbitrary
and build
- confidence interval for unknown dispersion
.
Statement. Random value

has a distribution
. Let be
-
-quantile of this distribution. Then we have:
. After substitution of the expression for
and simple algebraic transformations we get:
. Let be
- independent sampling from the normal distribution, where
,
- unknown constants. Construct a confidence interval for the unknown variance
.
Fisher's theorem for normal samples. Random value
, Where
- unbiased sample variance, has a distribution
. Then we have:
. After substitution of the expression for
and simple algebraic transformations we get:
.
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Probability theory. Mathematical Statistics and Stochastic Analysis
Terms: Probability theory. Mathematical Statistics and Stochastic Analysis