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Testing a Statistical Hypothesis

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Basics of Modern Mathematical Statistics

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References

  • Dudewicz, E. J., & Mishra, S. N. (1988). Modern mathématical statistics. New York: Wiley.

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  • Pestman, W. R., & Alberink, I. B. (1991). Mathematical statistics. Berlin: De Gruyter.

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  • Spokoiny, V., & Dickhaus, T. (2014). Basics of modern parametric statistics. Berlin: Springer.

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  • Suhov, Y., & Kelbert, M. (2005). Probability and statistics by example, 1 basic probability and statistics. New York: Cambridge University Press.

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Härdle, W.K., Spokoiny, V., Panov, V., Wang, W. (2014). Testing a Statistical Hypothesis. In: Basics of Modern Mathematical Statistics. Springer Texts in Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36850-9_6

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