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This document discusses a research article that derives the first four moments of the sample variance and the four central moments of the sample mean. It represents these moments using characteristic functions and verifies them for normally distributed populations. It also numerically obtains probability density functions of the sample variance for exponentially distributed random variables using the Pearson family. For Bernoulli distributed random variables, it presents some examples of probability mass fu

Author

Sandra Montes Faustor

Language

EN