Mixtures of Generalized Nonlinear Models

Herwig Friedl; Sanela Omerovic

Mixtures of Generalized Nonlinear Models

Institut für Statistik (5060)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

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.

Originalsprache	englisch
Titel	Proceedings of the 34th International Workshop of Statistical Modelling
Untertitel	7th-12th July 2019, Guimarães, Portugal.
Redakteure/-innen	Luís Meira-Machado, Gustavo Soutinho
Seiten	151-156
Band	I
Publikationsstatus	Veröffentlicht - Juli 2019
Veranstaltung	34th International Workshop on Statistical Modelling - Guimaraes, Guimaraes, Portugal Dauer: 7 Juli 2019 → 12 Juli 2019

Workshop

Workshop	34th International Workshop on Statistical Modelling
Kurztitel	IWSM 2019
Land/Gebiet	Portugal
Ort	Guimaraes
Zeitraum	7/07/19 → 12/07/19

Dieses zitieren

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title = "Mixtures of Generalized Nonlinear Models",

abstract = "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.",

author = "Herwig Friedl and Sanela Omerovic",

year = "2019",

month = jul,

language = "English",

isbn = "978-989-20-9528-8",

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note = "34th International Workshop on Statistical Modelling, IWSM 2019 ; Conference date: 07-07-2019 Through 12-07-2019",

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AB - 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.

M3 - Conference paper

SN - 978-989-20-9528-8

VL - I

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BT - Proceedings of the 34th International Workshop of Statistical Modelling

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