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Improving predictive inference under covariate shift by weighting the log-likelihood function
, 2000Hidetoshi Shimodaira
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The Plausibility and Likelihood Functions
2003The notion of likelihood is an important concept in modern statistics. In particular, the likelihood ratio has been used by several authors [19, 37] to measure the strength of the evidence represented by observations in statistical problems. This idea works fine when the goal is to evaluate the strength of the available evidence for a simple hypothesis
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IEEE Transactions on Wireless Communications, 2014
Zhechen Zhu, A. Nandi
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Zhechen Zhu, A. Nandi
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Likelihood-Based Inference in Cointegrated Vector Autoregressive Models
, 1996S. Johansen
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Approximations to the Log-Likelihood Function in the Nonlinear Mixed-Effects Model
, 1995J. Pinheiro, D. Bates
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The modified profile likelihood function
2000Abstract In Chapter 8 it was shown that, in some cases, inference about a parameter of interest ψ may be based on a marginal or conditional likelihood function. Those methods are only available however when the model has a particular structure.
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The Efficiency of Cox's Likelihood Function for Censored Data
, 1977B. Efron
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