Mixtures of Generalized Nonlinear Models

Herwig Friedl, Sanela Omerovic

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


The family of Mixtures of Generalized Nonlinear Models seems to be appropriate to provide predictions of the maximum gas consumption for extremely cold temperatures as they simultaneously face the problem of occurring heterogeneity arising from effects like sector-specific features (e.g. industrial or private consumer groups) or weekday-specific dependencies. The objective is to outline the statistical methods to enable the fitting of these models as well as to present a class of suitable applications.
Original languageEnglish
Title of host publicationProceedings of the 34th International Workshop of Statistical Modelling
Subtitle of host publication7th-12th July 2019, Guimarães, Portugal.
EditorsLuís Meira-Machado, Gustavo Soutinho
Publication statusPublished - Jul 2019
Event34th International Workshop on Statistical Modelling - Guimaraes, Guimaraes, Portugal
Duration: 7 Jul 201912 Jul 2019


Workshop34th International Workshop on Statistical Modelling
Abbreviated titleIWSM 2019

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