반응형 분류 전체보기123 Poisson distribution 포아송 분포/예시/적용/특성 Poisson Distribution poisson distribution is a discrete distribution because the random variable denotes the number of events occurences in a fixed time period. - discrete distribution - x: number of event occurences in a fixed time period (discrete numbers) Poisson Axioms 1. when time interval is small enough, probability that more than one event happens is 0. 2. event occurences are indepe.. 2020. 7. 14. Relationship between Exponential and Poisson distribution 지수분포와 포아송 분포의 관계 Exponential Distribution When X follows the exponential distribution, X~EXP(λ) random variable X expresses the time until the next event occurs. So exponential distribution is continuous distribution because it deals with time which is continuous. PDF(Probability Density Function) of Exponential Distribution Expected value and Variance of the exponential distribution Poisson Distribution Whe.. 2020. 7. 14. Memoryless Property of exponential and geometric distribution 지수분포와 기하분포의 무기억성 Memoryless Property : Probability of something happen in the future is irrelevent to the past Typically, exponential distribution & geometric distribution have memoryless property. exponential distribution can be interpreted as a continuous case of the geometric distribution, so both have the property. Conditional Probability P( A happens given the fact that B happens)= P( Both A and B happe.. 2020. 7. 14. 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. 이전 1 ··· 27 28 29 30 31 다음 반응형
