The famous de Moivreâ??s Laplace limit theorem proved the probability density\nfunction of Gaussian distribution from binomial probability mass function\nunder specified conditions. De Moivreâ??s Laplace approach is cumbersome as\nit relies heavily on many lemmas and theorems. This paper invented an alternative\nand less rigorous method of deriving Gaussian distribution from\nbasic random experiment conditional on some assumptions.
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