On Certain Conditions of Multivariate Power Series Distributions
Sadoon Abdullah Ibrahim Al-Obaidy, Faisal Ababneh, S. Alwadi
Abstract
Open-access reader
Sadoon Abdullah Ibrahim Al-Obaidy, Faisal Ababneh, S. Alwadi
Abstract
Open-access reader
During the last decades, no researches have conducted in order to prove some properties of the of the multivariate power series distribution, as results of the present study proved that any multivariate power series distribution is determined uniquely from the mean -function of any marginal random variable. Furthermore these results indicated also that any given function satisfying certain conditions construct a random vector with multivariate power series distribution which has a mean of the marginal random variable. A useful technique can be applied in model building when we have information about the mean-function.
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During the last decades, no researches have conducted in order to prove some properties of the of the multivariate power series distribution, as results of the present study proved that any multivariate power series distribution is determined uniquely from the mean -function of any marginal random variable. Furthermore these results indicated also that any given function satisfying certain conditions construct a random vector with multivariate power series distribution which has a mean of the marginal random variable. A useful technique can be applied in model building when we have information about the mean-function.
Key concepts: Mathematics, Multivariate statistics, Series (stratigraphy), Multivariate random variable, Multivariate t-distribution, Marginal distribution, Statistics, Multivariate normal distribution