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Elements of the Theory of Point Statistical Estimation

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Part of the book series: Mathematics and Its Applications ((MAIA,volume 263))

Abstract

Suppose that some experiment is organized so that the results of observations

$${x_1},{x_2},...,{x_n}$$

can be considered as a realization of independent identically distributed random variables X 1 , X 2 ,…, X n . Denote the set of these random variables X 1 ,…, X n by X. Then x = (x1,…, xn) denotes the realization of the random vector

$$\mathbb{X} = ({X_1},...{X_n}).$$

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© 1993 Springer Science+Business Media Dordrecht

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Voinov, V.G., Nikulin, M.S. (1993). Elements of the Theory of Point Statistical Estimation. In: Unbiased Estimators and Their Applications. Mathematics and Its Applications, vol 263. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1970-2_1

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  • DOI: https://doi.org/10.1007/978-94-011-1970-2_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4870-5

  • Online ISBN: 978-94-011-1970-2

  • eBook Packages: Springer Book Archive

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