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Hace 6 días · In probability theory and statistics, the Poisson distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time if these events occur with a known constant mean rate and independently of the time since the last event. It can also be used for the number of events in other types of intervals than time, and in ...
Hace 5 días · Bernoulli distribution; Binomial distribution; Categorical distribution; Discrete Uniform distribution; Geometric distribution; Hypergeometric distribution; Negative Binomial distribution; Poisson distribution; Univariate continuous. Beta distribution; Cauchy distribution; Exponential distribution; Gamma distribution; Half-Cauchy ...
Hace 2 días · A Markov chain or Markov process is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event. Informally, this may be thought of as, "What happens next depends only on the state of affairs now."A countably infinite sequence, in which the chain moves state at discrete time steps, gives a discrete ...
Hace 4 días · The Poisson distribution is the discrete probability distribution of the number of events occurring in a given time period, given the average number of times the event occurs over that time period.
Hace 5 días · The Geometric distribution is a special case of the Negative Binomial distribution in which α = 1 and θ = β / ( 1 + β). The continuous analog of the Geometric distribution is the Exponential distribution.
Hace 4 días · This tool lets you calculate the probability that a random variable X is in a specified range, for a variety of probability distributions for X: the normal distribution, the binomial distribution with parameters n and p, the chi-square distribution, the exponential distribution, the geometric distribution, the hypergeometric ...
Hace 5 días · This article examines the new inverse unit exponential distribution, utilizing both classical and Bayesian methodologies; it begins by presenting the general properties of the proposed model, highlighting characteristic features, such as the presence of a reverse-J or increasing and inverted bathtub-shaped hazard rate function.
