The exponential distribution is a continuous probability distribution that describes the time between independent events occurring at a constant average rate, such as the waiting time between radioactive decays or between arrivals in a queue, and it is the continuous counterpart of the discrete geometric distribution. It is defined by a single rate parameter, and its probability density falls off exponentially from that rate, giving the distribution its name. The exponential distribution is the unique continuous distribution with the memoryless property, meaning the probability of waiting an additional amount of time does not depend on how long one has already waited, a feature that makes it fundamental to queueing theory, reliability engineering, where it is used to model the lifetime of components with a constant failure rate, and to the Poisson process, whose inter-arrival times it describes exactly.
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Source Wikipedia: Probability distribution
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Entity-backed identity for the object-kind enum value this mathematical object already carries, resolved to a mathematics concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The object-kind fact itself stays on the object unchanged.
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1. Wikipedia: Probability distribution
Introduction
Formally, it is a probability measure: a function that assigns probabilities to events in a way that satisfies the axioms of probability.
In Branch: Probability and Statistics, Lead sentence
In probability theory and statistics, a probability distribution describes how probabilities are assigned to the possible results
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