반응형 Statistics48 Relationship between Exponential and Gamma distribution 지수분포 감마분포 관계 Exponential Distribution VS Gamma Distribution The relationship between Exponential distribution and Gamma distribution is similar to Relationship between Geometric distribution and Negative Binomial distribution. The random variable of Gamma distribution is the sum of independent and identically distributed Exponential distribution. As Random variable of Negative Binomial distribution is the .. 2020. 7. 14. Poisson approximation to Binomial distribution 이항분포의 포아송 근사 Poisson approximation to the Binomial distribution The Binomial distribution consists of two-parameter which is n and p. n: the number of independent trials p: the probability of getting success. When 'n' in Bin(n,p) is large enough and p is close to 0, binomial distribution converges to poisson distribution. Binomial Distribution when X follows binomial distribution, X~Bin(n,p) X: the numbe.. 2020. 7. 14. Relationship between Negative Binomial and Geometric distribution 음이항분포 기하분포 Geometric distribution VS Negative Binomial distribution The relationship between Geometric distribution and Negative Binomial distribution is similar to the relationship between Exponential distribution and Gamma distribution. The random variable of a negative binomial distribution is the sum of independent and identically distributed geometric distribution. In other words, Geometric distri.. 2020. 7. 14. Bayes Theorem 베이즈 정리 Bayes Theorem makes it possible to compute the probability of an event, which is not directly described, based on some conditions related to the event. For example, you can compute P(a person have cancer given the fact that the person gets + result in cancer examination)with some given probabilities ( P(+|cancer), P(+|no cancer), P(a randomly selected person get cancer )which looks not directly .. 2020. 7. 14. 이전 1 ··· 9 10 11 12 다음 반응형
