Amendments and Corrections: Improved Likelihood Ratio Statistics for Exponential Family Nonlinear Models

Biometrika ◽  
1991 ◽  
Vol 78 (4) ◽  
pp. 935
Author(s):  
Gauss M. Cordeiro ◽  
Gilberto A. Paula
Keyword(s):  
Likelihood Ratio ◽  
Exponential Family ◽  
Nonlinear Models ◽  
Likelihood Ratio Statistics

The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family

1994 ◽  
Vol 46 (2) ◽  
pp. 373-388 ◽  
Author(s):  
Dankmar Böhning ◽  
Ekkehart Dietz ◽  
Rainer Schaub ◽  
Peter Schlattmann ◽  
Bruce G. Lindsay
Keyword(s):  
Likelihood Ratio ◽  
Exponential Family ◽  
The One

Likelihood ratio statistics for DNA mixtures allowing for drop-out and drop-in

2011 ◽  
Author(s):  
Adele A. Mitchell ◽  
Jeannie Tamariz ◽  
Kathleen O‘Connell ◽  
Nubia Ducasse ◽  
Mechthild Prinz ◽  
...  
Keyword(s):  
Likelihood Ratio ◽  
Drop Out ◽  
Dna Mixtures ◽  
Likelihood Ratio Statistics

scholarly journals On sequential versions of the generalized likelihood ratio test

1979 ◽  
Vol 86 (1) ◽  
pp. 85-90 ◽  
Author(s):  
Andrew D. Barbour
Keyword(s):  
Likelihood Ratio ◽  
Null Hypothesis ◽  
Exponential Family ◽  
Likelihood Ratio Statistic ◽  
Generalized Likelihood Ratio Test ◽  
Ratio Test ◽  
Uhlenbeck Process ◽  
Large Sample ◽  
Sequential Tests ◽  
Composite Hypotheses

AbstractIt is shown that the Wilks large sample likelihood ratio statistic λn, for testing between composite hypotheses Θ0 ⊂ Θ1 on the basis of a sample of size n, behaves as n varies like a diffusion process related to an equilibrium Ornstein-Uhlenbeck process, whenever the null hypothesis is true. This fact is used to construct large sample sequential tests based on λn, which are the same whatever the underlying distributions. In particular, the underlying distributions need not belong to an exponential family.

Sign in / Sign up

Export Citation Format

Share Document