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The American Statistician, 1994 Some of the next articles are maybe not open access.
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Generalized Model for Linear Referencing in Transportation
GeoInformatica, 2002Summary: The Generalized Model for Linear Referencing is proposed as a theoretical basis for representing and translating linear locations. It separates the concepts of the linear element which is being measured and the linear method of measurement. It formalizes the concept of a distance expression as the measurement which is made.
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1981
In Chapter 3 and 4 the method of maximum likelihood was introduced as a general method by which a model could be fitted to data. In Chapter 5 we specialized by restricting ourselves to normally distributed random variables, and to cases where the model is linear in the unknown parameters.
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In Chapter 3 and 4 the method of maximum likelihood was introduced as a general method by which a model could be fitted to data. In Chapter 5 we specialized by restricting ourselves to normally distributed random variables, and to cases where the model is linear in the unknown parameters.
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Generalized Partially Linear Single-Index Models
Journal of the American Statistical Association, 1997Jianqing Fan, Irène Gijbels, M P Wand
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Reliable Estimation of Generalized Linear Mixed Models using Adaptive Quadrature
The Stata Journal, 2002Sophia Rabe-Hesketh +2 more
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Generalized model for linear referencing
Proceedings of the 7th ACM international symposium on Advances in geographic information systems, 1999openaire +1 more source
Hierarchical Generalized Linear Models
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1996J A Nelder
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