Anmerkungen:
In: Asian Journal of Mathematical Sciences,Apr-Jun-2018/Vol 2/Issue 2
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 15, 2018 erstellt
Beschreibung:
This paper presents concepts of Bernoulli distribution, and how it can be used as an approximation of Binomial, Poisson, and Gaussian distributions with a different approach from earlier existing literature. Due to discrete nature of the random variable X, a more appropriate method of the principle of mathematical induction (PMI) is used as an alternative approach to limiting behavior of the binomial random variable. The study proved de Moivre–Laplace theorem (convergence of binomial distribution to Gaussian distribution) to all values of p such that p ≠ 0 and p ≠ 1 using a direct approach which opposes the popular and most widely used indirect method of moment generating function