What is the Likelihood Ratio?
What should a forensic practitioner's likelihood ratio be? II
... practitioner’s likelihood ratio be? II Abstract In the debate as to whether forensic practitioners should assess and report the precision of the strength of evidence statements that they report to the ...
17
On the monotone likelihood ratio of a
... KEY WORDS: Faulty inspection distribution; Hypergeometric distribution; Measure- ment error model; Monotone likelihood ratio; Screening tests.... A sample.[r] ...
7
Semiparametric Likelihood Ratio Inference
... case likelihood ratio confidence regions are gen- erally preferred over Wald-type confidence regions, except perhaps from a computational ...the likelihood ratio test as in Thomas and ...
39
Likelihood Asymptotics in Nonregular Settings. A Review with Emphasis on the Likelihood Ratio
... the likelihood function of a regular model is reviewed in Section 2 together with the conditions upon which it is ...of likelihood pivots can be an utmost challenging task. The likelihood ...
45
Selecting Island Pixels With a Likelihood Ratio
... imaging, and electrical engineering. Even though the SNR is widely accepted and has provided good results, a new method, called the Log-Likelihood Ratio (LLR), is being introduced. The LLR is statistically ...
25
The Laplace Likelihood Ratio Test for Heteroscedasticity
... The likelihood ratio test for equal variances will be derived under the assumption of Laplace or double exponential distributed observations or ...the likelihood ratio test for the equality of ...
8
A speaker line-up for the Likelihood Ratio
... Terms: Likelihood Ratio, calibration, speaker recognition, ...the likelihood ratio (LR) is the proper way to present the strength of forensic evi- dence to court [1, ...The likelihood ...
5
In particular, for the likelihood ratio to be -antitone it is necessary that
... However, given the previous observation that Fx|a inherits MLRP, NISP, and a -antitone likelihood ratio from Gj xj |aj , it is natural to ask what conditions on Gj xj |aj are required f[r] ...
12
Likelihood ratio tests and intersection-union tests
... T ests Roger L. Berger North Carolina State University, Raleigh, NC 27695-8203/USA Abstract. The likelihood ratio test (LRT) method is a commonly used method of hypothesis test construction. The ...
13
A likelihood ratio test for stationarity of rating transitions
... The striking small p-values (see Table 1), except for b = 3, prove that rating transition intensities in this rating system are not stationary. Time since origination does influence rating transition probabilities ...
24
Fractal analysis for osteoporosis: a likelihood ratio approach
... cancer, likelihood ratio statistics, chi-square distribution INTRODUCTION This paper is about statistical modelling for dia- gnos tics in medicine using ...the likelihood ratio ...
12
A likelihood ratio test for stationarity of rating transitions
... a likelihood ratio test for stationarity based on a multiple Markov process, ...profile likelihood, being of current interest (Murphy and van der Vaart, ...
28
The likelihood ratio test for the rank of a cointegration submatrix
... (e-mail: [email protected]) June 30, 2006 Abstract This paper proposes a likelihood ratio test for rank-de…ciency of a sub- matrix of the cointegrating matrix. Special cases of the test include ...
25
Likelihood ratio tests of correlated multivariate samples
... (iii) Testing simultaneous equality of both mean vectors and covariance matrices, i.e., H 0 : µ 1 = · · · = µ t and 6 1 = · · · = 6 t versus H A which does not so restrict µ i ’s and/or 6 i ’s. Hypothesis tests about ...
14
Hierarchical image segmentation relying on a likelihood ratio test
... 2 Université Paris-Est, LIGM, ESIEE Paris - CNRS {y.kenmochi,j.cousty,l.najman}@esiee.fr Abstract. Hierarchical image segmentation provides a set of image seg- mentations at different detail levels in which coarser ...
12
Asymptotic law of likelihood ratio for multilayer perceptron models.
... statistic can have an order lower bounded by O(log(n)) with n the number of observations instead of the classical convergence property to χ 2 law. However, a fairly natural assumption is to consider that the parameters ...
20
Geometry of the Log-Likelihood Ratio Statistic in Misspecified Models
... log-likelihood ratio under the misspecification has the form of the trace of a ...log-likelihood ratio still holds for the misspecified models, we show that the first order asymptotic mean of the ...
15
Genome Wide Likelihood Ratio Tests under Heterogeneity
... The commonly used statistical methods in medical research generally assume patients arise from one homogeneous population. However, the existence and importance of significant heterogeneity have been widely documented. ...
11
Bootstrapping Quasi Likelihood Ratio Tests under Misspecification
... We consider quasi likelihood ratio (QLR) tests for restrictions on parameters un- der potential model misspecification. For convex M-estimation, including quantile regression, we propose a general and ...
34
Comparing two treatments in terms of the likelihood ratio order
... the likelihood ratio ...classical likelihood ratio test and Pearson test ...classical likelihood ratio and the Pearson’s chi-square test while the exact size remains closed to ...
53