Likelihood

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Author: A. W. F. Edwards

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Empirical likelihood

Empirical likelihood

Local Regression and Likelihood

Local Regression and Likelihood

In All Likelihood: Statistical Modelling and Inference Using Likelihood

In All Likelihood: Statistical Modelling and Inference Using Likelihood

In All Likelihood: Statistical Modelling and Inference Using Likelihood

In All Likelihood: Statistical Modelling and Inference Using Likelihood

Detachment, Probability, and Maximum Likelihood

Detachment, Probability, and Maximum Likelihood

Econometric applications of maximum likelihood methods

Econometric applications of maximum likelihood methods

Maximum likelihood estimation of oncogenetic tree models

Maximum likelihood estimation of oncogenetic tree models

Econometric Applications of Maximum Likelihood Methods

Econometric Applications of Maximum Likelihood Methods

Econometric Applications of Maximum Likelihood Methods

Econometric Applications of Maximum Likelihood Methods

Maximum Penalized Likelihood Estimation: Volume II: Regression

Maximum Penalized Likelihood Estimation: Volume II: Regression

Maximum Penalized Likelihood Estimation: Volume II: Regression

Maximum Penalized Likelihood Estimation: Volume II: Regression

Likelihood-based inference in cointegrated vector autoregressive models

Likelihood-based inference in cointegrated vector autoregressive models

Maximum Simulated Likelihood Methods and Applications (Advances in Econometrics)

Maximum Simulated Likelihood Methods and Applications (Advances in Econometrics)

Meta-analysis of Binary Data Using Profile Likelihood

Likelihood, Bayesian and MCMC Methods in Quantitative Genetics

Likelihood, Bayesian and MCMC Methods in Quantitative Genetics

Likelihood, Bayesian and MCMC Methods in Quantitative Genetics

Likelihood, Bayesian and MCMC Methods in Quantitative Genetics

A Center Cutting Plane Algorithm for a Likelihood Estimate Problem

A Center Cutting Plane Algorithm for a Likelihood Estimate Problem

Likelihood-Based Inference in Cointegrated Vector Autoregressive Models

Likelihood-Based Inference in Cointegrated Vector Autoregressive Models

Maximum Likelihood Estimation of Misspecified Models: Twenty Years Later

Maximum Likelihood Estimation of Misspecified Models: Twenty Years Later

Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions

Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions

Maximum Likelihood Estimation of Misspecified Models: Twenty Years Later, Volume 17

Maximum Likelihood Estimation of Misspecified Models: Twenty Years Later, Volume 17

Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood

Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood

Quasi-likelihood estimation for relative risk regression models (2005)(en)(16s)

Quasi-likelihood estimation for relative risk regression models (2005)(en)(16s)

Likelihood-Based Inference in Cointegrated Vector Autoregressive Models (Advanced Texts in Econometrics)

Likelihood-Based Inference in Cointegrated Vector Autoregressive Models (Advanced Texts in Econometrics)

Maximum Likelihood Estimation: Logic and Practice (Quantitative Applications in the Social Sciences)

Maximum Likelihood Estimation: Logic and Practice (Quantitative Applications in the Social Sciences)

Quasi-Likelihood and Its Application: A General Approach to Optimal Parameter Estimation (Springer Series in Statistics)

Quasi-Likelihood and Its Application: A General Approach to Optimal Parameter Estimation (Springer Series in Statistics)

Quasi-Likelihood and Its Application: A General Approach to Optimal Parameter Estimation

Quasi-Likelihood and Its Application: A General Approach to Optimal Parameter Estimation

Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial (Foundations and Trends in Communications and Information Theory)

Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial (Foundations and Trends in Communications and Information Theory)

Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions (Springer Series in Statistics)

Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions (Springer Series in Statistics)

Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood (Chapman & Hall CRC Monographs on Statistics & Applied Probability)

Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood (Chapman & Hall CRC Monographs on Statistics & Applied Probability)

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