Goodness of fit tests for Rayleigh distribution

08/18/2022
by   Vaisakh K. M., et al.
0

We develop a new goodness fit test for Rayleigh distribution for complete as well as right censored data. We use U-Statistic theory to derive the test statistic. First we develop a test for complete data and then discuss, how right censored observations can be incorporated in the testing procedure. The asymptotic properties of the test statistics in both uncensored and censored cases are studied in detail. Extensive Monte Carlo simulation studies are carried out to validate the performance of the proposed tests. We illustrate the procedures using real data sets. We also provide, a goodness of fit test for standard Rayleigh distribution based on jackknife empirical likelihood.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/01/2021

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

In the present paper, we develop a new goodness fit test for gamma distr...
research
06/11/2021

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

Using fixed point characterization, we develop a new goodness of fit tes...
research
07/21/2020

A Generalized Hosmer-Lemeshow Goodness-of-Fit Test for a Family of Generalized Linear Models

Generalized linear models (GLMs) are used within a vast number of applic...
research
10/02/2022

Chi-Square Goodness-of-Fit Tests for Conditional Distributions

We propose a cross-classification rule for the dependent and explanatory...
research
02/26/2019

A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions

The objective of goodness-of-fit testing is to assess whether a dataset ...
research
01/09/2014

Efficient unimodality test in clustering by signature testing

This paper provides a new unimodality test with application in hierarchi...
research
01/21/2022

ANOVA for Data in Metric Spaces, with Applications to Spatial Point Patterns

We give a review of recent ANOVA-like procedures for testing group diffe...

Please sign up or login with your details

Forgot password? Click here to reset