The Performance of the Likelihood Ratio Test When the Model is Incorrect
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- Type
- article
- Published
- 1977-11-01
- Cited by
- 92
- References
- 10
- Access
- Open access
- OpenAlex
- https://openalex.org/W2062076986
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:121727896
Keywords
Mathematics, Likelihood-ratio test, Score test, Likelihood principle, Statistics
References
- On the strong consistency of approximate maximum likelihood estimators
- An optimal property of the likelihood ratio statistic
- Stochastic comparison of tests
- Consistency and Asymptotic Normality of MLE's for Exponential Models
- The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses
- On the measurability and consistency of minimum contrast estimates
- Rates of Convergence of Estimates and Test Statistics
- Note on the Consistency of the Maximum Likelihood Estimate
- The asymptotic distribution of the likelihood ratio when the model is incorrect
- A Note on the Asymptotic Distribution of Likelihood Ratio
Cited by
- On the asymptotic behaviour of the pseudolikelihood ratio test statistic with boundary problems.
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- Weighted composite likelihoods
- Variance component methods for detecting complex trait loci.
- Analisi del rischio di contagio finanziario con modelli a correlazione dinamica: evidenze sui CDS Spreads degli Stati sovrani
- Guess LOD approach: Sufficient conditions for robustness
- Hypothesis Testing of Hazard Ratio Parameters in Marginal Models for Multivariate Failure Time Data
- Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
- The Indirect Method: Inference Based on Intermediate Statistics—A Synthesis and Examples
- Robust LOD scores for variance component‐based linkage analysis
- Large-sample results for optimization-based clustering methods
- Artificial neural networks: an econometric perspective ∗
- Bootstrap tests for misspecified models, with application to clustered binary data
- Covariate Screening in Mixed Linear Models
- Likelihood ratio tests for model selection of stochastic frontier models
- On the asymptotic bias of estimators under parameter drift
- Performance of likelihood ratio tests of evolutionary hypotheses under inadequate substitution models.
- R. A. Fisher: The Founder of Modern Statistics
- Maximum Likelihood Estimation of Misspecified Models
- A Propensity Score Adjustment for Multiple Group Structural Equation Modeling
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