likelihood ratio
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] ...
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Comparative simulation study of likelihood ratio tests for homogeneity of the exponential distribution
... on likelihood ratio tests. The exact likelihood ratio test for scale and homogeneity in the complete sample from gamma family was derived in Stehlík ...the likelihood ratio test ...
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Genome Wide Likelihood Ratio Tests under Heterogeneity
... efficient likelihood ratio test under genetic heterogeneity for linkage analysis based on a binomial mixture model, using family data with parental marker genotypes and genotypes of two affected ...
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Quantum local asymptotic normality based on a new quantum likelihood ratio
... 4. Concluding remarks. We have developed a new theory of local asymp- totic normality in the quantum domain based on a quantum extension of the log- likelihood ratio. This formulation is applicable to any ...
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DNA identification by pedigree likelihood ratio accommodating population substructure and mutations
... In this study, we combined pedigree analysis, popula- tion substructure and mutation analysis, and developed a method to calculate pedigree LR based on the classic Elston-Stewart (ES) algorithm [18]. To facilitate the ...
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Fast and Accurate Likelihood Ratio Based Biometric Verification in the Encrypted Domain
... In this work we present a novel approach to perform a biometric classification on a centralized system designed with privacy protection in mind. On top of that we aim to create a system with high accuracy and high ...
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Conceptualization of category-oriented likelihood ratio: a useful tool for clinical diagnostic reasoning
... Diagnostic reasoning has been understood in the light of two paradigms for psychological research on clinical rea- soning: problem solving and decision making. The former describes and advocates the reasoning strategies ...
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Generalized Likelihood Ratio Tests for Varying Coefficient Models with Censored Data
... generalized likelihood ratio (GLR) statistic for nonparametric ...maximum likelihood ratio test statistic in general may not exist in nonparametric and semiparametric ...maximum ...
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The asymptotic distribution and robustness of the likelihood ratio and score test statistics
... The likelihood ratio and score statistics are two of the most commonly used test statistics in parametric ...the likelihood ratio statistic, the fundamental aim of which is to produce a ...
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The in-and-out-of-sample (IOS) likelihood ratio test for model misspecification
... We emphasize here that we do not propose to use IOS as a model selection tool in the usual sense of choosing variables for inclusion in a model, nor do we intend or expect IOS to usurp the role of the likelihood ...
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An Expectation-Maximization–Likelihood-Ratio Test for Handling Missing Data
... The mapping of quantitative trait loci (QTL) is an important research question in animal and human studies. Missing data are common in such study settings, and ignoring such missing data may result in biased estimates of ...
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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 ...
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Analysis of a Likelihood Ratio Classifier for Histogram Features
... the likelihood ratio is ...The likelihood ratio classifier is optimal in Neyman Person sense, as explained in [1], since it reaches the maximum True Match Rate (TMR) for every given False ...
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The Likelihood Ratio Decision Criterion for Nuisance Attribute Projection in GMM Speaker Verification
... Although the key algorithm of both methods is formu- lated as an eigenvalue problem, their implementation and usage differ significantly. While the first one was designed to be used in combination with a decision ...
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Optimal likelihood-ratio multiple testing with application to Alzheimer’s disease and questionable dementia
... the likelihood ratio-based false discovery rate method can control the false discovery rate, giving the smallest false non-discovery rate (for a one-sided test) or the smallest expected number of false ...
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The Laplace Likelihood Ratio Test for Heteroscedasticity
... in general statistical tests for example, ANOVA’s. Bootstrap methods can be helpful to investigate the distribution of test statistics in these problems. A review and some suggestions are given in the paper of Boos and ...
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Incorporation of protein binding effects into likelihood ratio test for exome sequencing data
... Statistical association studies are an important tool in detecting novel disease genes. However, for sequencing data, association studies confront the challenge of low power because of relatively small data sample size ...
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Likelihood ratio tests and intersection-union tests
... Abstract. The likelihood ratio test (LRT) method is a commonly used method of hypothesis test construction. The intersection-union test (IUT) method is a less commonly used method. We will explore some ...
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Fractal analysis for osteoporosis: a likelihood ratio approach
... This paper is about statistical modelling for dia- gnos tics in medicine using fractals. As a lot of hu- man diseases – like osteoporosis vertebras and can- cer cells – have a chaotic structure they can be seen as ...
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Mixed samples, mixed distributions and the monotone likelihood ratio property
... Thus one compares and X^^ for each j = 2 , 3 , . . . , N-2 in order to determine which such value of the likelihood is greatest. The corresponding allocation gives the maximum likelihood allocation and ...
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