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Statistical Properties of Skewness and Kurtosis of Small Samples from Normal and Two Other Populations

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Progress in Automation, Robotics and Measuring Techniques

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 352))

Abstract

Statistics of skewness and kurtosis distributions and their basic parameters for a set of samples of certain small numbers of elements are find. These distributions were determined using the Monte Carlo method. The samples were repeatedly taken at random from a normally distributed population and for comparison from the population of a two other simple distributions. Knowledge about statistics of skewness and kurtosis should allow to obtain a more reliable estimate of the standard deviation and the uncertainty of the measurand value estimator from samples of a small number of measurement observations, when range of their value distribution is known.

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Correspondence to Zygmunt L. Warsza .

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© 2015 Springer International Publishing Switzerland

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Warsza, Z.L., KorczyƄski, M.J. (2015). Statistical Properties of Skewness and Kurtosis of Small Samples from Normal and Two Other Populations. In: Szewczyk, R., ZieliƄski, C., KaliczyƄska, M. (eds) Progress in Automation, Robotics and Measuring Techniques. Advances in Intelligent Systems and Computing, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-319-15835-8_32

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  • DOI: https://doi.org/10.1007/978-3-319-15835-8_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15834-1

  • Online ISBN: 978-3-319-15835-8

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