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Likelihood Ratio Test

The Laplace Likelihood Ratio Test for Heteroscedasticity

The Laplace Likelihood Ratio Test for Heteroscedasticity

... the likelihood ratio test for heteroscedasticity, assuming the Laplace distribution, gives good results for Gaussian and fat-tailed ...The likelihood ratio test, assuming ...

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An Expectation-Maximization–Likelihood-Ratio Test for Handling Missing Data

An Expectation-Maximization–Likelihood-Ratio Test for Handling Missing Data

... (EM)–likelihood-ratio test (LRT) in QTL ...(ANOVA)-based test, which discards incomplete ...ANOVA-based test in a real data set collected from F 2 intercross studies of inbred mouse ...

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A New Approximation for the Null Distribution of the Likelihood Ratio Test Statistics for k Upper Outliers in a Normal Sample

A New Approximation for the Null Distribution of the Likelihood Ratio Test Statistics for k Upper Outliers in a Normal Sample

... In this paper we introduce a new approximation for the null distribution of the likelihood ratio test for the general case. We compare the critical values obtained by the new approximation to the ...

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LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test

LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test

... new likelihood ratio imbalance degree (LRID) to measure the class-im- balance extent of multi-class ...Imbalance ratio (IR) is usually used to measure class-imbalance extent in imbalanced learning ...

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Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test

Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test

... performance of a VAD in a noise environment. Instead of using the DFT coefficients in VAD, this article presents a novel approach by using the complex coefficients derived from complex exponential atomic decomposition of ...

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Incorporation of protein binding effects into likelihood ratio test for exome sequencing data

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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Genome wide association and linkage analysis of quantitative traits: comparison of likelihood ratio test and conditional score statistic

Genome wide association and linkage analysis of quantitative traits: comparison of likelihood ratio test and conditional score statistic

... association analysis is it can be carried out in samples of unrelated individuals, which may be easier to recruit. On the other hand, family samples provide extra information about segregation of the phenotype, and both ...

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The Weighting is the Hardest Part: On the Behavior of the Likelihood Ratio Test and the Score Test Under a Data-Driven Weighting Scheme in Sequenced Samples

The Weighting is the Hardest Part: On the Behavior of the Likelihood Ratio Test and the Score Test Under a Data-Driven Weighting Scheme in Sequenced Samples

... popular test of association is the sequence kernel association test ...largest test statistic is likely to capture best the allele frequency–functional effect ...score test and the ...

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Testing the Rasch model with the conditional likelihood ratio test: sample size requirements and bootstrap algorithms

Testing the Rasch model with the conditional likelihood ratio test: sample size requirements and bootstrap algorithms

... The results obtained in the present study have two important implications: First, we are able to obtain the distribution of the test statistic under a fixed alternative by means of the recommended bootstrap ...

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The in-and-out-of-sample (IOS) likelihood ratio test for model misspecification

The in-and-out-of-sample (IOS) likelihood ratio test for model misspecification

... new test of model misspecification, based on the ratio of in-sample and out-of- sample likelihoods, is ...The test is broadly applicable, and in simple problems approximates well known, intuitive ...

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Pitfalls of the most commonly used models of context dependent substitution

Pitfalls of the most commonly used models of context dependent substitution

... between nested models, the differences were measured using the standard likelihood ratio test statistic LRT. To facilitate comparisons between the two model forms, we further expressed the relative ...

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ENHANCED PLANTED(ℓ,D) MOTIF SEARCH PRUNE ALGORITHM FOR PARALLEL ENVIRONMENT

ENHANCED PLANTED(ℓ,D) MOTIF SEARCH PRUNE ALGORITHM FOR PARALLEL ENVIRONMENT

... using likelihood ratio test (LRT). To test hypothesis H : 0 C γ ′ = τ versus H : 0 C γ ′ ≠ τ in spline truncated model of nonlinear SEM for matrix C, vector parameter γ and a constant vector ...

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Likelihood ratio tests and intersection-union tests

Likelihood ratio tests and intersection-union tests

... The likelihood ratio test (LRT) method is a commonly used method of hypothesis test ...intersection-union test (IUT) method is a less commonly used ...

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GLRT DETECTORS BASED COGNITIVE RADIO (CR) ENERGY DETECTION SYSTEMS WITH ARRIVALS OF PRIMITIVE USERS ON SPECTRUM SENSING

GLRT DETECTORS BASED COGNITIVE RADIO (CR) ENERGY DETECTION SYSTEMS WITH ARRIVALS OF PRIMITIVE USERS ON SPECTRUM SENSING

... Teng Joon Lim, Rui Zhang, Ying Chang Liang and Yonghong Zeng, “GLRT-Based Spectrum Sensing for Cognitive Radio”: In this paper, they propose several spectrum sensing methods designed using the generalized ...

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Constructing confidence intervals for QTL location.

Constructing confidence intervals for QTL location.

... In this report, we will study the asymptotic properties of the likelihood ratio test for QTLs having small effect and construct a new test and therefore a new unbiased confide[r] ...

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Semiparametric Likelihood Ratio Inference

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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Moving Target Estimation in Non-Homogeneous Clutter for MIMO Radar

Moving Target Estimation in Non-Homogeneous Clutter for MIMO Radar

... one test cell to another and also from one transmit-receive pair to ...maximum likelihood estimator (MLE) for velocity estimation and general likelihood ratio test (GLRT) for detection ...

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Empirical Likelihood Ratio Based Goodness-of-Fit Test for Generalized Lambda Distribution

Empirical Likelihood Ratio Based Goodness-of-Fit Test for Generalized Lambda Distribution

... Goodness-of-fit test is the test that is always used to check the sufficiency of the data fitting by a given ...the likelihood ratio test (LRT) is the uniformly powerful (UMP) ...

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Joint Tests for Zero Restrictions on Non negative Regression Coefficients

Joint Tests for Zero Restrictions on Non negative Regression Coefficients

... Three tests for zero restrictions on regression coefficients that are known to be nonnegative are considered: the classical F test, the likelihood ratio test, and a one-sided t test in a[r] ...

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The asymptotic distribution and robustness of the likelihood ratio and score test statistics

The asymptotic distribution and robustness of the likelihood ratio and score test statistics

... the likelihood ratio statistic under a mis-specified model is possible only under similar ...the likelihood ratio statistic under a mis-specified model is a weighted sum of independent Xi ...

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