The de Moivre distribution is another name for the normal distribution , which also goes by many different names  including “the law of error”, the “frequency law”, the “Gaussian curve”, and “Laplace-Gauss”.
The use of “de Moivre distribution” to describe the normal distribution is thought to originate with Freudenthal , who advocated the name because De Moivre was the first to define the distribution, in 1733 . Although de Moivre’s contribution was not widely recognized at the time, Pierre-Simon Marquis de Laplace generalized de Moivre’s findings and included in his influential Theorie Analytique des Probabilites published in 1812 .
De Moivre Distribution in Actuarial Science
In actuarial science, a de Moivre is another name for the uniform distribution. For example, the de Moivre distribution is often used in relation to the actuarial study of uniform (de Moivre) distribution of deaths [6, 7]. For example , let T represent the time from birth until death of a random member of the population and assume that T follows a de Moivre distribution:
The function F(t) allows us to calculate the probability a person will die by age t.
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