Maximum likelihood computations for regression with measurement error

Roger Higdon; Daniel W. Schafer

doi:10.1016/s0167-9473(00)00014-1

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Maximum likelihood computations for regression with measurement error

Roger Higdon Daniel W. Schafer

Year: 2001 Journal: Computational Statistics & Data Analysis Vol: 35 (3)Pages: 283-299 Publisher: Elsevier BV

DOI: 10.1016/s0167-9473(00)00014-1

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Keywords:

Mathematics Estimator Statistics Empirical likelihood Maximum likelihood sequence estimation Estimating equations M-estimator Regression analysis Likelihood function Restricted maximum likelihood Confidence interval Standard error Moment (physics) Expectation–maximization algorithm Maximum likelihood Applied mathematics

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Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Maximum likelihood computations for regression with measurement error

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