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- [share_ebook] Local Regression and Likelihood (Statistics and Computing) - Clive Loader
- [share_ebook] Local Regression and Likelihood (Statistics and Computing) - Clive Loader
- [share_ebook] Local Regression and Likelihood (Statistics and Computing) - Clive Loader
- [share_ebook] Empirical Bayes and Likelihood Inference (Lecture Notes in Statistics)
- [share_ebook] The Likelihood Principle (Ims Lecture Notes-Monograph : Vol 6)
- [share_ebook] Empirical Bayes and Likelihood Inference (Lecture Notes in Statistics)
- [share_ebook] Information Bounds and Nonparametric Maximum Likelihood Estimation (Oberwolfach Seminars)
- [share_ebook] Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions (Springer Series in Statistics)
- [share_ebook] Quasi-Likelihood and Its Application: A General Approach to Optimal Parameter Estimation
- [share_ebook] Empirical Likelihood
- Empirical Likelihood (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) [Repost]
- The Likelihood Principle
- Econometric Applications of Maximum Likelihood Methods
- Quasi-Likelihood and Its Application: A General Approach to Optimal Parameter Estimation (Repost)
- Maximum Penalized Likelihood Estimation: Volume II: Regression
- [share_ebook] Maximum Penalized Likelihood Estimation: Volume II: Regression (Springer Series in Statistics)
- Quasi-Likelihood and Its Application: A General Approach to Optimal Parameter Estimation (Repost)
- Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood (repost)
- Likelihood-Based Inference in Cointegrated Vector Autoregressive Models
- Maximum Penalized Likelihood Estimation: Volume II: Regression (Springer Series in Statistics)

