2017, Second edition., Monographs on statistics and applied probability, ISBN 9781498720618, Volume 153., xix, 446 pages

.... It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments...

Linear models (Statistics) | Generalized estimating equations

Linear models (Statistics) | Generalized estimating equations

Book

The Annals of statistics, ISSN 0090-5364, 2001, Volume 29, Issue 1, pp. 153 - 193

.... Maximum likelihood ratio test statistics in general may not exist in nonparametric function estimation setting...

Hypothesis testing | Maximum likelihood estimation | Null hypothesis | Statistical theories | Ratio test | Nonparametric Testing | Regression analysis | Nonparametric models | Statistics | Parametric models | Estimators | Nonparametric test | Optimal rates | Generalized likelihood | Wilks thoerem | Asymptotic null distribution | Gaussian white noise models | Power function | TESTS | asymptotic null distribution | NONPARAMETRIC REGRESSION | STATISTICS & PROBABILITY | power function | generalized likelihood | ASYMPTOTIC EQUIVALENCE | MODELS | COEFFICIENT | HYPOTHESIS | nonparametric test | GOODNESS-OF-FIT | WHITE-NOISE | optimal rates | CHECKING | 62G07 | 62G10 | Wilks theorem | 62J12

Hypothesis testing | Maximum likelihood estimation | Null hypothesis | Statistical theories | Ratio test | Nonparametric Testing | Regression analysis | Nonparametric models | Statistics | Parametric models | Estimators | Nonparametric test | Optimal rates | Generalized likelihood | Wilks thoerem | Asymptotic null distribution | Gaussian white noise models | Power function | TESTS | asymptotic null distribution | NONPARAMETRIC REGRESSION | STATISTICS & PROBABILITY | power function | generalized likelihood | ASYMPTOTIC EQUIVALENCE | MODELS | COEFFICIENT | HYPOTHESIS | nonparametric test | GOODNESS-OF-FIT | WHITE-NOISE | optimal rates | CHECKING | 62G07 | 62G10 | Wilks theorem | 62J12

Journal Article

IEEE Transactions on Signal Processing, ISSN 1053-587X, 02/2017, Volume 65, Issue 4, pp. 1082 - 1092

.... The generalized likelihood ratio test (GLRT) is derived based on multiple primary data and a set of secondary data containing noise...

Adaptive detection | Gaussian noise | Gaussian rank-one signals | Detectors | Radar | Gaussian distribution | Numerical simulation | Electronic mail | Covariance matrices | generalized likelihood ratio test | ADAPTIVE DETECTION ALGORITHM | REJECTION | ENGINEERING, ELECTRICAL & ELECTRONIC | Signal processing | Usage | Research | Gaussian processes | Engineering Sciences | Signal and Image processing

Adaptive detection | Gaussian noise | Gaussian rank-one signals | Detectors | Radar | Gaussian distribution | Numerical simulation | Electronic mail | Covariance matrices | generalized likelihood ratio test | ADAPTIVE DETECTION ALGORITHM | REJECTION | ENGINEERING, ELECTRICAL & ELECTRONIC | Signal processing | Usage | Research | Gaussian processes | Engineering Sciences | Signal and Image processing

Journal Article

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, ISSN 1350-7265, 2005, Volume 11, Issue 6, pp. 1031 - 1057

.... is applicable to the testing problem for the parametric component of semiparametric models. We introduce the profile likelihood ratio test and demonstrate that it follows an asymptotically χ²...

Maximum likelihood estimation | Null hypothesis | Statistical theories | Ratio test | Semiparametric modeling | Coefficients | Nonparametric models | Linear models | Statistics | Estimators | Profile likelihood | Wald statistics | Partially linear models | Varying-coefficient partially linear models | Generalized likelihood ratio statistics | Local linear regression | REGRESSION | local linear regression | profile likelihood | partially linear models | varying-coefficient partially linear models | wald statistics | STATISTICS & PROBABILITY | generalized likelihood ratio statistics | BANDWIDTH

Maximum likelihood estimation | Null hypothesis | Statistical theories | Ratio test | Semiparametric modeling | Coefficients | Nonparametric models | Linear models | Statistics | Estimators | Profile likelihood | Wald statistics | Partially linear models | Varying-coefficient partially linear models | Generalized likelihood ratio statistics | Local linear regression | REGRESSION | local linear regression | profile likelihood | partially linear models | varying-coefficient partially linear models | wald statistics | STATISTICS & PROBABILITY | generalized likelihood ratio statistics | BANDWIDTH

Journal Article

Statistics and Computing, ISSN 0960-3174, 9/2015, Volume 25, Issue 5, pp. 997 - 1008

.... Using this representation, we then consider restricted likelihood ratio tests for zero variance components in mixed models to test the null...

Statistics and Computing/Statistics Programs | P-spline analysis of variance | Functional regression | Restricted likelihood ratio test | Artificial Intelligence (incl. Robotics) | Statistical Theory and Methods | Statistics | Generalized additive model | Functional data analysis | P-spline | Probability and Statistics in Computer Science | SINGLE | MODELS | COMPONENTS | STATISTICS & PROBABILITY | COMPUTER SCIENCE, THEORY & METHODS | VARIANCE | Models | Information management | Analysis | Automotive emissions | Additives | Computer simulation | Linearity | Regression | Likelihood ratio | Mathematical models | Diesel | Statistics - Methodology

Statistics and Computing/Statistics Programs | P-spline analysis of variance | Functional regression | Restricted likelihood ratio test | Artificial Intelligence (incl. Robotics) | Statistical Theory and Methods | Statistics | Generalized additive model | Functional data analysis | P-spline | Probability and Statistics in Computer Science | SINGLE | MODELS | COMPONENTS | STATISTICS & PROBABILITY | COMPUTER SCIENCE, THEORY & METHODS | VARIANCE | Models | Information management | Analysis | Automotive emissions | Additives | Computer simulation | Linearity | Regression | Likelihood ratio | Mathematical models | Diesel | Statistics - Methodology

Journal Article

The Annals of Statistics, ISSN 0090-5364, 12/2009, Volume 37, Issue 6B, pp. 3985 - 4010

Generalized likelihood ratio (GLR) test statistics are often used in the detection of spatial clustering in case-control and case-population datasets to check for a significantly large proportion of cases within some scanning window...

Datasets | Monte Carlo methods | Null hypothesis | Approximation | P values | Random variables | Arithmetic mean | Statistics | Epidemiology | Probabilities | Spatial clustering | Average likelihood ratio | Scan statistic | Moderate deviations | Generalized likelihood ratio | Logistic model | Change of measure | logistic model | change of measure | spatial clustering | RENEWAL THEORY | STATISTICS & PROBABILITY | generalized likelihood ratio | moderate deviations | scan statistic | 60G55 | 60F10 | 62G10

Datasets | Monte Carlo methods | Null hypothesis | Approximation | P values | Random variables | Arithmetic mean | Statistics | Epidemiology | Probabilities | Spatial clustering | Average likelihood ratio | Scan statistic | Moderate deviations | Generalized likelihood ratio | Logistic model | Change of measure | logistic model | change of measure | spatial clustering | RENEWAL THEORY | STATISTICS & PROBABILITY | generalized likelihood ratio | moderate deviations | scan statistic | 60G55 | 60F10 | 62G10

Journal Article

Computational Statistics and Data Analysis, ISSN 0167-9473, 06/2014, Volume 74, pp. 110 - 124

.... The likelihood ratio, Wald and score statistics, and the recently proposed gradient statistic provide the basis for testing inference on the parameters in these models...

Likelihood ratio statistic | Gradient statistic | Bartlett-type correction | Bootstrap | Bartlett correction | Score statistic | Generalized linear models | Wald statistic | BIRNBAUM-SAUNDERS REGRESSIONS | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SCORE TESTS | LOCAL-POWER | RATIO STATISTICS | ARMA MODELS | ASYMPTOTICS | SMALL SAMPLE INFERENCE | Statistical analysis | Samples | Likelihood ratio | Inference | Mathematical models | Statistical methods | Statistical tests | Statistics

Likelihood ratio statistic | Gradient statistic | Bartlett-type correction | Bootstrap | Bartlett correction | Score statistic | Generalized linear models | Wald statistic | BIRNBAUM-SAUNDERS REGRESSIONS | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SCORE TESTS | LOCAL-POWER | RATIO STATISTICS | ARMA MODELS | ASYMPTOTICS | SMALL SAMPLE INFERENCE | Statistical analysis | Samples | Likelihood ratio | Inference | Mathematical models | Statistical methods | Statistical tests | Statistics

Journal Article

TEST, ISSN 1133-0686, 5/2011, Volume 20, Issue 1, pp. 180 - 203

In this paper we first show how the exact distributions of the most common likelihood ratio test (l.r.t...

62H15 | 62H05 | Mixtures | Generalized Integer Gamma distribution | Statistical Theory and Methods | Statistics, general | Statistics | Wilks lambda statistic | Statistics for Business/Economics/Mathematical Finance/Insurance | 62E20 | Independence test | Sphericity test | Generalized Near-Integer Gamma distribution | 62H10 | INTEGER GAMMA-DISTRIBUTION | STATISTICS & PROBABILITY | SPHERICITY | COVARIANCE MATRICES | Studies | Normal distribution | Analysis | Beta

62H15 | 62H05 | Mixtures | Generalized Integer Gamma distribution | Statistical Theory and Methods | Statistics, general | Statistics | Wilks lambda statistic | Statistics for Business/Economics/Mathematical Finance/Insurance | 62E20 | Independence test | Sphericity test | Generalized Near-Integer Gamma distribution | 62H10 | INTEGER GAMMA-DISTRIBUTION | STATISTICS & PROBABILITY | SPHERICITY | COVARIANCE MATRICES | Studies | Normal distribution | Analysis | Beta

Journal Article

Science China Mathematics, ISSN 1674-7283, 6/2018, Volume 61, Issue 6, pp. 1129 - 1138

In this paper, we investigate the two sample U-statistics by jackknife empirical likelihood (JEL...

U -statistics | Balanced augmented empirical likelihood | 62F40 | Mathematics | 62G10 | Applications of Mathematics | jackknife empirical likelihood | ROC curves | U-statistics | MATHEMATICS | MATHEMATICS, APPLIED | balanced augmented empirical likelihood

U -statistics | Balanced augmented empirical likelihood | 62F40 | Mathematics | 62G10 | Applications of Mathematics | jackknife empirical likelihood | ROC curves | U-statistics | MATHEMATICS | MATHEMATICS, APPLIED | balanced augmented empirical likelihood

Journal Article

The Annals of Statistics, ISSN 0090-5364, 10/2008, Volume 36, Issue 5, pp. 2232 - 2260

.... Profile likelihood ratio inference for the growing number of parameters is proposed and Wilk's phenomenon is demonstrated...

Preliminary estimates | Salary | Estimate reliability | Approximation | Sample size | Inference | Sandwiches | Linear models | Estimators | Consistent estimators | Profile likelihood | High dimensionality | Varying coefficients | Generalized likelihood ratio tests | Asymptotic normality | Generalized linear models | asymptotic normality | REGRESSION | profile likelihood | STATISTICS | varying coefficients | high dimensionality | VARYING-COEFFICIENT MODELS | PARTIALLY LINEAR-MODELS | STATISTICS & PROBABILITY | EFFICIENT ESTIMATION | generalized likelihood ratio tests | 62G08 | 62F12 | 62J12

Preliminary estimates | Salary | Estimate reliability | Approximation | Sample size | Inference | Sandwiches | Linear models | Estimators | Consistent estimators | Profile likelihood | High dimensionality | Varying coefficients | Generalized likelihood ratio tests | Asymptotic normality | Generalized linear models | asymptotic normality | REGRESSION | profile likelihood | STATISTICS | varying coefficients | high dimensionality | VARYING-COEFFICIENT MODELS | PARTIALLY LINEAR-MODELS | STATISTICS & PROBABILITY | EFFICIENT ESTIMATION | generalized likelihood ratio tests | 62G08 | 62F12 | 62J12

Journal Article

Journal of Statistical Theory and Practice, ISSN 1559-8608, 3/2019, Volume 13, Issue 1, pp. 1 - 24

.... The exact distribution of the likelihood ratio statistic, for simple hypotheses, is obtained in terms of Gamma or Generalized Integer Gamma distributions, when the first or the second of the two...

Mixtures | Reproducibility probability | Generalized Integer Gamma distribution | Statistical Theory and Methods | Probability Theory and Stochastic Processes | Statistics, general | Statistics | Nonparametric predictive inference | 62E20 | Generalized Near-Integer Gamma distribution | 62G99 | Likelihood ratio tests | 62F03 | 62E15

Mixtures | Reproducibility probability | Generalized Integer Gamma distribution | Statistical Theory and Methods | Probability Theory and Stochastic Processes | Statistics, general | Statistics | Nonparametric predictive inference | 62E20 | Generalized Near-Integer Gamma distribution | 62G99 | Likelihood ratio tests | 62F03 | 62E15

Journal Article

IEEE Transactions on Signal Processing, ISSN 1053-587X, 03/2017, Volume 65, Issue 6, pp. 1425 - 1436

.... Standard asymptotic distributions for the test statistic are of no use since they would require K...

improper complex time series | Fourier transforms | Frequency-domain analysis | Oceans | Time series analysis | Estimation | Generalized likelihood ratio test (GLRT) | multichannel signal | spectral analysis | Covariance matrices | Testing | multiple hypothesis test | LABRADOR SEA | STATISTICS | LIKELIHOOD-RATIO CRITERION | IMPROPRIETY | COVARIANCE-STRUCTURES | ENGINEERING, ELECTRICAL & ELECTRONIC | FALSE DISCOVERY RATE | DISTRIBUTIONS | Fourier transformations | Usage | Time-series analysis

improper complex time series | Fourier transforms | Frequency-domain analysis | Oceans | Time series analysis | Estimation | Generalized likelihood ratio test (GLRT) | multichannel signal | spectral analysis | Covariance matrices | Testing | multiple hypothesis test | LABRADOR SEA | STATISTICS | LIKELIHOOD-RATIO CRITERION | IMPROPRIETY | COVARIANCE-STRUCTURES | ENGINEERING, ELECTRICAL & ELECTRONIC | FALSE DISCOVERY RATE | DISTRIBUTIONS | Fourier transformations | Usage | Time-series analysis

Journal Article

Journal of Statistical Computation and Simulation, ISSN 0094-9655, 11/2019, Volume 89, Issue 16, pp. 3035 - 3045

.... It is shown that the log empirical likelihood ratio statistic for the difference of two population means converges in distribution...

two-sample | empirical likelihood | compound Poisson process | Confidence interval | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | STATISTICS & PROBABILITY | INFERENCE | Likelihood ratio | Population (statistical) | Poisson density functions | Statistical analysis | Estimating techniques | Generalized method of moments

two-sample | empirical likelihood | compound Poisson process | Confidence interval | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | STATISTICS & PROBABILITY | INFERENCE | Likelihood ratio | Population (statistical) | Poisson density functions | Statistical analysis | Estimating techniques | Generalized method of moments

Journal Article

Journal of the American Statistical Association, ISSN 0162-1459, 10/2015, Volume 110, Issue 512, pp. 1552 - 1561

... strategy is to select some summary statistic and derive a procedure based on the statistic's asymptotic sampling distribution. First-order methods, such as confidence...

Hypothesis test | Profile likelihood | Monte Carlo | Likelihood | Confidence region | Bootstrap | p-Value | TESTS | BINOMIAL PROPORTION | CONFIDENCE-INTERVALS | NUISANCE PARAMETERS | STATISTICS & PROBABILITY | CORRELATION-COEFFICIENT | GENERALIZED FIDUCIAL-INFERENCE | ASYMPTOTICS | LIKELIHOOD RATIO | GAMMA-DISTRIBUTION

Hypothesis test | Profile likelihood | Monte Carlo | Likelihood | Confidence region | Bootstrap | p-Value | TESTS | BINOMIAL PROPORTION | CONFIDENCE-INTERVALS | NUISANCE PARAMETERS | STATISTICS & PROBABILITY | CORRELATION-COEFFICIENT | GENERALIZED FIDUCIAL-INFERENCE | ASYMPTOTICS | LIKELIHOOD RATIO | GAMMA-DISTRIBUTION

Journal Article

Statistica Sinica, ISSN 1017-0405, 7/2016, Volume 26, Issue 3, pp. 955 - 978

... with ${\mathrm{F}}_{0}=\left\{{\mathrm{f}}_{{\mathrm{\delta }}_{\mathrm{\mu }}}\right\}$. We study a generalized likelihood ratio test (GLRT...

Maximum likelihood estimation | Null hypothesis | Determinism | Higher criticism | Bayes estimators | Ratio test | P values | Maximum likelihood estimators | Significance level | Density | Detection boundary | Normal mixture | Generalized likelihood ratio test | Sparse normal means | Generalized maximum likelihood estimator | normal mixture | sparse normal means | MAXIMUM-LIKELIHOOD | CLASSIFICATION | STATISTICS & PROBABILITY | generalized maximum likelihood estimator | HIGHER CRITICISM | RATES | BAYES ESTIMATION | DENSITIES | CONVERGENCE | generalized likelihood ratio test

Maximum likelihood estimation | Null hypothesis | Determinism | Higher criticism | Bayes estimators | Ratio test | P values | Maximum likelihood estimators | Significance level | Density | Detection boundary | Normal mixture | Generalized likelihood ratio test | Sparse normal means | Generalized maximum likelihood estimator | normal mixture | sparse normal means | MAXIMUM-LIKELIHOOD | CLASSIFICATION | STATISTICS & PROBABILITY | generalized maximum likelihood estimator | HIGHER CRITICISM | RATES | BAYES ESTIMATION | DENSITIES | CONVERGENCE | generalized likelihood ratio test

Journal Article

16.
Full Text
Performance of Statistical Tests for Single-Source Detection Using Random Matrix Theory

IEEE Transactions on Information Theory, ISSN 0018-9448, 04/2011, Volume 57, Issue 4, pp. 2400 - 2419

.... The Generalized Maximum Likelihood Test is studied and yields the analysis of the ratio between the maximum eigenvalue of the sampled covariance matrix and its normalized trace...

Context | large deviations | hypothesis testing | Noise | Covariance matrix | Cognitive radio | Convergence | Jacobian matrices | Cooperative spectrum sensing | random matrix theory | Eigenvalues and eigenfunctions | ROC curve | generalized likelihood ratio test | LARGEST EIGENVALUE | SIGNALS | COMPUTER SCIENCE, INFORMATION SYSTEMS | LIMIT | COGNITIVE RADIO | ENGINEERING, ELECTRICAL & ELECTRONIC | DISTRIBUTIONS | EIGENVECTORS | CONVERGENCE | SPECTRUM | COVARIANCE MATRICES | Telecommunication systems | Research | Probability | Mathematics | Information Theory | Statistics | Statistics Theory | Computer Science

Context | large deviations | hypothesis testing | Noise | Covariance matrix | Cognitive radio | Convergence | Jacobian matrices | Cooperative spectrum sensing | random matrix theory | Eigenvalues and eigenfunctions | ROC curve | generalized likelihood ratio test | LARGEST EIGENVALUE | SIGNALS | COMPUTER SCIENCE, INFORMATION SYSTEMS | LIMIT | COGNITIVE RADIO | ENGINEERING, ELECTRICAL & ELECTRONIC | DISTRIBUTIONS | EIGENVECTORS | CONVERGENCE | SPECTRUM | COVARIANCE MATRICES | Telecommunication systems | Research | Probability | Mathematics | Information Theory | Statistics | Statistics Theory | Computer Science

Journal Article

Scandinavian Journal of Statistics, ISSN 0303-6898, 06/2018, Volume 45, Issue 2, pp. 217 - 254

Non‐parametric generalized likelihood ratio test is a popular method of model checking for regressions...

Wilks phenomenon | model adaption | bias correction | dimension reduction | non‐parametric generalized likelihood ratio | non-parametric generalized likelihood ratio | CHECKS | STATISTICS & PROBABILITY | OF-FIT TESTS | ADAPTIVE ESTIMATION | VARIABLE SELECTION | FUNCTIONAL FORM | LINEAR-MODELS | SINGLE-INDEX MODEL | CONSISTENT TEST | ESTIMATORS | SLICED INVERSE REGRESSION | Economic models | Data analysis | Reduction | Computer simulation | Bias | Test procedures | Likelihood ratio | Regression analysis

Wilks phenomenon | model adaption | bias correction | dimension reduction | non‐parametric generalized likelihood ratio | non-parametric generalized likelihood ratio | CHECKS | STATISTICS & PROBABILITY | OF-FIT TESTS | ADAPTIVE ESTIMATION | VARIABLE SELECTION | FUNCTIONAL FORM | LINEAR-MODELS | SINGLE-INDEX MODEL | CONSISTENT TEST | ESTIMATORS | SLICED INVERSE REGRESSION | Economic models | Data analysis | Reduction | Computer simulation | Bias | Test procedures | Likelihood ratio | Regression analysis

Journal Article

18.
Full Text
A composite likelihood method for bivariate meta-analysis in diagnostic systematic reviews

Statistical Methods in Medical Research, ISSN 0962-2802, 4/2017, Volume 26, Issue 2, pp. 914 - 930

.... This method provides an alternative way to make inference on diagnostic measures such as sensitivity, specificity, likelihood ratios, and diagnostic odds ratio...

diagnostic review | meta-analysis | diagnostic accuracy | Bivariate generalized linear mixed effects model | composite likelihood | REGRESSION | TESTS | TEST ACCURACY | SPECIFICITY | MEDICAL INFORMATICS | SENSITIVITY | RATIO | STATISTICS & PROBABILITY | INFERENCE | GENERALIZED LINEAR-MODELS | CURVE | HEALTH CARE SCIENCES & SERVICES | MATHEMATICAL & COMPUTATIONAL BIOLOGY | SELECTION | Skin Neoplasms - diagnostic imaging | Melanoma - diagnostic imaging | Meta-Analysis as Topic | Humans | Linear Models | Melanoma - secondary | Likelihood Functions | Analysis of Variance | Biostatistics - methods | Computer Simulation | Sensitivity and Specificity | Diagnostic Tests, Routine - statistics & numerical data | Odds Ratio | Bivariate analysis | Computer simulation | Diagnostic tests | Melanoma | Systematic review | Metastasis | Meta-analysis | Sensitivity | Simulation | Robustness (mathematics) | Skin melanoma | Diagnostic software | Robustness | Diagnostic systems | Simplicity | Avoidance | Composite likelihood | Diagnostic review | Diagnostic accuracy

diagnostic review | meta-analysis | diagnostic accuracy | Bivariate generalized linear mixed effects model | composite likelihood | REGRESSION | TESTS | TEST ACCURACY | SPECIFICITY | MEDICAL INFORMATICS | SENSITIVITY | RATIO | STATISTICS & PROBABILITY | INFERENCE | GENERALIZED LINEAR-MODELS | CURVE | HEALTH CARE SCIENCES & SERVICES | MATHEMATICAL & COMPUTATIONAL BIOLOGY | SELECTION | Skin Neoplasms - diagnostic imaging | Melanoma - diagnostic imaging | Meta-Analysis as Topic | Humans | Linear Models | Melanoma - secondary | Likelihood Functions | Analysis of Variance | Biostatistics - methods | Computer Simulation | Sensitivity and Specificity | Diagnostic Tests, Routine - statistics & numerical data | Odds Ratio | Bivariate analysis | Computer simulation | Diagnostic tests | Melanoma | Systematic review | Metastasis | Meta-analysis | Sensitivity | Simulation | Robustness (mathematics) | Skin melanoma | Diagnostic software | Robustness | Diagnostic systems | Simplicity | Avoidance | Composite likelihood | Diagnostic review | Diagnostic accuracy

Journal Article

Journal of Multivariate Analysis, ISSN 0047-259X, 2010, Volume 101, Issue 3, pp. 583 - 593

... of the logarithm of the likelihood ratio test statistic to test independence in a set of variates, we may obtain extremely well-fitting near-exact distributions for both test statistics...

Independence test | Sphericity test | Generalized Near-Integer Gamma distribution | Wilks lambda statistic | Mixtures | ODD NUMBER | BETA RANDOM-VARIABLES | INTEGER GAMMA-DISTRIBUTION | PRODUCT | STATISTICS & PROBABILITY | EXACT APPROXIMATIONS | Wilks lambda statistic Independence test Sphericity test Generalized Near-Integer Gamma distribution Mixtures

Independence test | Sphericity test | Generalized Near-Integer Gamma distribution | Wilks lambda statistic | Mixtures | ODD NUMBER | BETA RANDOM-VARIABLES | INTEGER GAMMA-DISTRIBUTION | PRODUCT | STATISTICS & PROBABILITY | EXACT APPROXIMATIONS | Wilks lambda statistic Independence test Sphericity test Generalized Near-Integer Gamma distribution Mixtures

Journal Article

20.
Full Text
On composite likelihood in bivariate meta-analysis of diagnostic test accuracy studies

AStA Advances in Statistical Analysis, ISSN 1863-8171, 4/2018, Volume 102, Issue 2, pp. 211 - 227

The composite likelihood is amongst the computational methods used for estimation of the generalized linear mixed model (GLMM...

Diagnostic odds ratio | Statistics for Business/Economics/Mathematical Finance/Insurance | SROC | Generalized linear mixed model | Probability Theory and Stochastic Processes | Statistics, general | Copula mixed model | Sensitivity/specificity | Econometrics | Statistics | MODEL APPROACH | BINARY OUTCOMES | STATISTICS & PROBABILITY | Medical tests | Analysis | Models

Diagnostic odds ratio | Statistics for Business/Economics/Mathematical Finance/Insurance | SROC | Generalized linear mixed model | Probability Theory and Stochastic Processes | Statistics, general | Copula mixed model | Sensitivity/specificity | Econometrics | Statistics | MODEL APPROACH | BINARY OUTCOMES | STATISTICS & PROBABILITY | Medical tests | Analysis | Models

Journal Article

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