Results 261 to 270 of about 333,801 (297)
Some of the next articles are maybe not open access.
On Profile Likelihood: Comment
Journal of the American Statistical Association, 2000Jianqing Fan, Wing-Hung Wong
+6 more sources
An approximation to the modified profile likelihood function
Biometrika, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
On a criticism of the profile likelihood function
Statistical Papers, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Montoya, José A. +2 more
openaire +2 more sources
Improved profile likelihood inference
Journal of Statistical Planning and Inference, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ferrari, Silvia L. P. +2 more
openaire +1 more source
Notes on likelihood intervals and profiling
Communications in Statistics - Theory and Methods, 2000In many applications, decisions are made on the basis of function of parameters g(θ). When the value of g(theta;) is calculated using estimated values for te parameters, its is important to have a measure of the uncertainty associated with that value of g(theta;).
Shannon L. Quinn +2 more
openaire +1 more source
The likelihood of Condorcet's profiles
2002International ...
Merlin, Vincent +2 more
openaire +1 more source
Adjusted Quasi-Profile Likelihoods and Robustness
2001An adjusted quasi-profile loglikelihood for a scalar parameter of interest is discussed. The corresponding quasi-profile score has bias which is asymptotically negligible. Because of this, it is likely to provide accurate inferences with small samples or many nuisance parameters. An application to robust M-estimation is presented, which gives rise to a
R. Bellio +2 more
openaire +3 more sources
On Profile Likelihood: Rejoinder
Journal of the American Statistical Association, 2000S. A. Murphy, A. W. van der Vaart
openaire +1 more source
The modified profile likelihood function
2000Abstract In Chapter 8 it was shown that, in some cases, inference about a parameter of interest ψ may be based on a marginal or conditional likelihood function. Those methods are only available however when the model has a particular structure.
openaire +1 more source

