Goodness-of-fit Tests for the Bivariate Poisson Distribution

02/24/2019
by   Francisco Novoa-Muñoz, et al.
0

The bivariate Poisson distribution is commonly used to model bivariate count data. In this paper we study a goodness-of-fit test for this distribution. We also provide a review of the existing tests for the bivariate Poisson distribution, and its multivariate extension. The proposed test is consistent against any fixed alternative. It is also able to detect local alternatives converging to the null at the rate n^-1/2. The bootstrap can be employed to consistently estimate the null distribution of the test statistic. Through a simulation study we investigated the goodness of the bootstrap approximation and the power for finite sample sizes.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/27/2019

Goodness-of-fit test for the bivariate Hermite distribution

This paper studies the goodness of fit test for the bivariate Hermite di...
research
12/06/2018

Goodness-of-fit testing the error distribution in multivariate indirect regression

We propose a goodness-of-fit test for the distribution of errors from a ...
research
06/17/2018

On APF Test for Poisson Process with Shift and Scale Parameters

We propose the goodness of fit test for inhomogeneous Poisson processes ...
research
02/07/2023

Comparison of Quantile Regression Curves with Censored Data

This paper proposes a new test for the comparison of conditional quantil...
research
12/22/2021

Omnibus goodness-of-fit tests for count distributions

A consistent omnibus goodness-of-fit test for count distributions is pro...
research
12/22/2021

A family of consistent normally distributed tests for Poissonity

A consistent test based on the probability generating function is propos...
research
10/08/2020

Conditional Goodness-of-Fit Tests for Discrete Distributions

In this paper, we address the problem of testing goodness-of-fit for dis...

Please sign up or login with your details

Forgot password? Click here to reset