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