2009Unpublished venueRequires access

Some Representations and Specifications of the Generalized Negative Binomial Distribution

Mina Towhidi

Open publisher page 0 citations

Abstract

Abstract: In a sequence of dependent Bernoulli trials, the distribution of the number of trials required to obtain r successes, Vr, is called a Generalized Negative Binomial (GNB) distribution. We present a simple representation of this distribution based on moments and consider the conditions under which a GNB distribution follows negative binomial distribution. Also we study the properties of this distribution in Markov chains. Key words: Negative binomial distribution • Dependent Bernoulli sequences • Generalized negative

About this research paper

What this paper is about

Abstract: In a sequence of dependent Bernoulli trials, the distribution of the number of trials required to obtain r successes, Vr, is called a Generalized Negative Binomial (GNB) distribution. We present a simple representation of this distribution based on moments and consider the conditions under which a GNB distribution follows negative binomial distribution. Also we study the properties of this distribution in Markov chains. Key words: Negative binomial distribution • Dependent Bernoulli sequences • Generalized negative

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

Abstract: In a sequence of dependent Bernoulli trials, the distribution of the number of trials required to obtain r successes, Vr, is called a Generalized Negative Binomial (GNB) distribution. We present a simple representation of this distribution based on moments and consider the conditions under which a GNB distribution follows negative binomial distribution. Also we study the properties of this distribution in Markov chains. Key words: Negative binomial distribution • Dependent Bernoulli sequences • Generalized negative

Key concepts: Beta-binomial distribution, Beta negative binomial distribution, Mathematics, Binomial distribution, Negative binomial distribution, Multinomial distribution, Negative multinomial distribution, Bernoulli trial

Related papers

Back to paper searchBrowse research topicsOriginal source
Some Representations and Specifications of the Generalized Negative Binomial Distribution — Research Paper | ScholarLens