Results 241 to 250 of about 113,247 (266)
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Biometrika, 1983
SUMMARY The class of generalized linear models is extended to allow for correlated observations, nonlinear models and error distributions not of the exponential family form. The extended class of models include a number of important examples, particularly of the composite transformational type.
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SUMMARY The class of generalized linear models is extended to allow for correlated observations, nonlinear models and error distributions not of the exponential family form. The extended class of models include a number of important examples, particularly of the composite transformational type.
openaire +3 more sources
RE&PQJ
In previous researches, the large signal models of DC microgrids have been developed without using any time averaging technique. Thus, the results obtained from available DC microgrid large signal models have not been verified by results from their detailed models. This paper presents a suitable large signal model
null M. Mahmoodi +1 more
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In previous researches, the large signal models of DC microgrids have been developed without using any time averaging technique. Thus, the results obtained from available DC microgrid large signal models have not been verified by results from their detailed models. This paper presents a suitable large signal model
null M. Mahmoodi +1 more
openaire +1 more source
Generalization Evaluation of a Nonlinear Auto-Regressive Neural Network for PON Technologies
2023 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), 2023Enzo Gomes Pinto Perin da Cruz +6 more
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Testing a Nonlinear Regression Specification: A Nonregular Case
Journal of the American Statistical Association, 1977A Ronald Gallant
exaly
An interior point algorithm for nonlinear quantile regression
Journal of Econometrics, 1996Roger Koenker
exaly
Consequences and Detection of Misspecified Nonlinear Regression Models
Journal of the American Statistical Association, 1981Halbert White
exaly
Tolerance Approach to Possibilistic Nonlinear Regression With Interval Data
IEEE Transactions on Cybernetics, 2014Michal Černý, Milan Hladik
exaly
Quadratic programming for nonlinear regression
Communications of the ACM, 1972Richard I Shrager
exaly
Regression Analysis, Nonlinear or Nonnormal: Simple and Accurate p Values from Likelihood Analysis
Journal of the American Statistical Association, 1999John Wu, Augustine Wong, D A S Fraser
exaly