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Mathematicians of the law of large numbers
Laplace was born in Beaumont-Antoinette, Calva province, northwest France, on March 23rd, on 1749. He is a professor of mathematics at the Paris Military Academy, starting with 1795, and then a professor at the Paris Institute of Technology. 1799, he also served as the director of the French longitude bureau and served as the minister of the interior in Napoleon's government for six weeks. 18 16 was elected as an academician of the French Academy, and 18 17 was the president of the Academy. He died in Paris on March 5th, 827/KLOC-0.

In the process of studying celestial problems, Laplace created and developed many mathematical methods. Laplace transform, Laplace theorem and Laplace equation named after him are widely used in various fields of science and technology. De Mofo, formerly known as Abraham de Moivre in French, (1667.05.26 France-1754.11.27 London, England), is a French mathematician. Demovo's most famous contributions to mathematics are Demovo formula and Demovo-Laplace central limit theorem, as well as his research on normal distribution and probability theory. Demover also wrote a textbook on probability, Opportunism, which is said to be highly praised by gamblers. Demover is one of the pioneers of analytic geometry and probability theory; He also found an approximate formula of binomial distribution for the first time, which is considered to be the first appearance of normal distribution.

The law of large numbers is also called the law of large numbers or the law of average. In the long-term practice, it is found that the almost inevitable law, the law of large numbers, often appears in a large number of repetitions of random phenomena. The significance of this rule is that the more risk units there are, the closer the actual loss results are to the possible expected loss results obtained from infinite units. Based on this, the insurer can predict the danger more accurately, determine the insurance rate reasonably, and balance the insurance premium collected during the insurance period with the loss compensation and other expenses. The law of large numbers is the mathematical basis on which modern insurance industry depends. Insurance companies analyze the relative stability of the loss of the insured subject matter by using the law that the uncertainty will disappear in a large number in individual cases. According to the law of large numbers, the number of each type of subject matter insured by insurance companies must be large enough, otherwise, without a certain quantitative basis, the required law of quantity cannot be produced. However, any insurance company has its limitations, that is, the units with the same risk nature are limited, which requires reinsurance to expand the risk units and spread the risks.