A new goodness of fit test for uniform distribution with censored observations

06/11/2021
by   Sudheesh K Kattumannil, et al.
0

Using fixed point characterization, we develop a new goodness of fit test for uniform distribution. We also discuss how the right censored observations can be incorporated in the proposed test procedure. We study the asymptotic properties of the proposed test statistics. A Monte Carlo simulation is carried out to evaluate the finite sample performance of the tests. We illustrate the test procedures using real data sets.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/18/2022

Goodness of fit tests for Rayleigh distribution

We develop a new goodness fit test for Rayleigh distribution for complet...
research
01/22/2020

A new goodness of fit test for normal distribution based on Stein's characterization

We develop a new non-parametric test for testing normal distribution usi...
research
01/09/2019

Tests for validity of the semiparametric heteroskedastic transformation model

There exist a number of tests for assessing the nonparametric heterosced...
research
09/30/2020

Testing for linearity in boundary regression models with application to maximal life expectancies

We consider a regression model with errors that are a.s. negative. Thus ...
research
01/06/2023

Testing exponentiality using extropy of upper record values

We are giving one characterization result of exponential distribution us...
research
11/25/2022

On Testing Homological Equivalence

In this article, we develop a test to check whether the support of the u...
research
05/19/2021

New classes of tests for the Weibull distribution using Stein's method in the presence of random right censoring

We develop two new classes of tests for the Weibull distribution based o...

Please sign up or login with your details

Forgot password? Click here to reset