Corrected maximum-likelihood estimation in a class of symmetric nonlinear regression models

Gauss M. Cordeiro; Silvia L. P. Ferrari; Miguel Ángel Uribe-Opazo; Klaus L. P. Vasconcellos

doi:10.1016/s0167-7152(99)00118-2

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Corrected maximum-likelihood estimation in a class of symmetric nonlinear regression models

Gauss M. Cordeiro Silvia L. P. Ferrari Miguel Ángel Uribe-Opazo Klaus L. P. Vasconcellos

Year: 2000 Journal: Statistics & Probability Letters Vol: 46 (4)Pages: 317-328 Publisher: Elsevier BV

DOI: 10.1016/s0167-7152(99)00118-2

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Keywords:

Mathematics Statistics Maximum likelihood Class (philosophy) Nonlinear regression Regression Regression analysis Applied mathematics Simple (philosophy) Nonlinear system

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Statistical Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Corrected maximum-likelihood estimation in a class of symmetric nonlinear regression models

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