scholarly journals Composite Quantile Generalized Quasi-Likelihood Ratio Tests for Varying Coefficient Regression Models

2017 ◽  
Author(s):  
Jin-ju XU ◽  
Zhong-hua LUO
Keyword(s):  
Likelihood Ratio ◽  
Regression Models ◽  
Likelihood Ratio Tests ◽  
Varying Coefficient ◽  
Varying Coefficient Regression

scholarly journals Projection-type estimation for varying coefficient regression models

Bernoulli ◽  
2012 ◽  
Vol 18 (1) ◽  
pp. 177-205 ◽  
Author(s):  
Young K. Lee ◽  
Enno Mammen ◽  
Byeong U. Park
Keyword(s):  
Regression Models ◽  
Varying Coefficient ◽  
Varying Coefficient Regression

scholarly journals Quasi-Likelihood Ratio Tests for Homoscedasticity in Linear Regression

2020 ◽  
Vol 18 (1) ◽  
pp. 2-16
Author(s):  
Lili Yu ◽  
Varadan Sevilimedu ◽  
Robert Vogel ◽  
Hani Samawi
Keyword(s):  
Linear Regression ◽  
Likelihood Ratio ◽  
Regression Models ◽  
Likelihood Ratio Tests ◽  
Simulation Studies ◽  
Linear Regression Models

Two quasi-likelihood ratio tests are proposed for the homoscedasticity assumption in the linear regression models. They require few assumptions than the existing tests. The properties of the tests are investigated through simulation studies. An example is provided to illustrate the usefulness of the new proposed tests.

Varying Coefficient Regression Models: A Review and New Developments

2013 ◽  
Vol 83 (1) ◽  
pp. 36-64 ◽  
Author(s):  
Byeong U. Park ◽  
Enno Mammen ◽  
Young K. Lee ◽  
Eun Ryung Lee
Keyword(s):  
Regression Models ◽  
New Developments ◽  
Varying Coefficient ◽  
Varying Coefficient Regression

Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data

2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Shin Zhu Sim ◽  
Ramesh C. Gupta ◽  
Seng Huat Ong
Keyword(s):  
Regression Model ◽  
Poisson Distribution ◽  
Likelihood Ratio ◽  
Regression Models ◽  
Discrete Data ◽  
Likelihood Ratio Tests ◽  
Simulation Studies ◽  
Generalized Poisson ◽  
Proposed Model ◽  
Better Than

Abstract In this paper, we study the zero-inflated Conway-Maxwell Poisson (ZICMP) distribution and develop a regression model. Score and likelihood ratio tests are also implemented for testing the inflation/deflation parameter. Simulation studies are carried out to examine the performance of these tests. A data example is presented to illustrate the concepts. In this example, the proposed model is compared to the well-known zero-inflated Poisson (ZIP) and the zero- inflated generalized Poisson (ZIGP) regression models. It is shown that the fit by ZICMP is comparable or better than these models.

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