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Variables sampling plans for the Poisson and the binomial
Author(s) -
Guenther William C.
Publication year - 1972
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.1972.tb00196.x
Subject(s) - mathematics , poisson distribution , negative binomial distribution , binomial distribution , statistics , sampling (signal processing) , compound poisson distribution , poisson binomial distribution , binomial (polynomial) , exponential distribution , zero inflated model , poisson sampling , econometrics , beta binomial distribution , poisson regression , importance sampling , slice sampling , computer science , monte carlo method , population , demography , filter (signal processing) , sociology , computer vision
Variables sampling plans based upon continuous distributions are well known. The usual assumption is that a measurable characteristic associated with a product has a normal distribution, a case which has been treated extensively in the literature. Other continuous distributions, particularly the exponential, have also been used as models. In this paper we discuss variables sampling plans for situations in which the measurable characteristic has either a Poisson or a binomial distribution.