Structure of the probability mass function of the Poisson distribution of order $k$
S. R. Mane

TL;DR
This paper characterizes the shape and parameter space of the Poisson distribution of order k, providing visual interpretation, analyzing its modes, and proposing new bounds and inequalities for its properties.
Contribution
It offers a detailed shape analysis of the pmf of the Poisson distribution of order k, including parameter space mapping and mode structure insights.
Findings
The pmf has a specific partitioned shape with peaks and a single zero point.
Parameter space boundaries determine the pmf's behavior and mode structure.
New bounds and conjectures for median and mode are proposed.
Abstract
The Poisson distribution of order is a special case of a compound Poisson distribution. For it is the standard Poisson distribution. Although its probability mass function (pmf) is known, what is lacking is a interpretation, which a sum over terms with factorial denominators does not supply. Unlike the standard Poisson distribution, the Poisson distribution of order can display a maximum of peaks simultaneously, as a function of two parameters: the order and the rate parameter . This note characterizes the shape of the pmf of the Poisson distribution of order . The pmf can be partitioned into a single point at , an increasing sequence for and a mountain range for (explained in the text). The ``parameter space'' of the pmf is mapped out and the significance of each domain is explained, in particular the change in…
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Taxonomy
TopicsFatigue and fracture mechanics · Asphalt Pavement Performance Evaluation
