2013International Journal of Open Problems in Computer Science and MathematicsOpen access

On Certain Conditions of Multivariate Power Series Distributions

Sadoon Abdullah Ibrahim Al-Obaidy, Faisal Ababneh, S. Alwadi

Open full text 0 citations

Abstract

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.

Open-access reader

About this research paper

What this paper is about

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.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

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

Related papers

Back to paper searchBrowse research topicsOriginal source
On Certain Conditions of Multivariate Power Series Distributions — Research Paper | ScholarLens