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Fu H, Noche B (2012). Integration of Truncated Distributions in Exponential Family with Simulation Models of Logistics and Supply Chain Management. Logistics Journal, Vol. 2012. (urn:nbn:de:0009-14-34525)

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%0 Journal Article
%T Integration of Truncated Distributions in Exponential Family with Simulation Models of Logistics and Supply Chain Management
%A Fu, Haichen
%A Noche, Bernd
%J Logistics Journal
%D 2012
%V 2012
%N 01
%@ 2192-9084
%F fu2012
%X Truncated distributions of the exponential family have great influence in the simulation models. This paper discusses the truncated Weibull distribution specifically. The truncation of the distribution is achieved by the Maximum Likelihood Estimation method or combined with the expectation and variance expressions. After the fitting of distribution, the goodness-of-fit tests (the Chi-Square test and the Kolmogorov-Smirnov test) are executed to rule out the rejected hypotheses. Finally the distributions are integrated in various simulation models, e. g. shipment consolidation model, to compare the influence of truncated and original versions of Weibull distribution on the model.
%L 620
%R 10.2195/lj_Proc_fu_en_201210_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-34525
%U http://dx.doi.org/10.2195/lj_Proc_fu_en_201210_01
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@Article{fu2012,
  author = 	"Fu, Haichen
		and Noche, Bernd",
  title = 	"Integration of Truncated Distributions in Exponential Family with Simulation Models of Logistics and Supply Chain Management",
  journal = 	"Logistics Journal",
  year = 	"2012",
  volume = 	"2012",
  number = 	"01",
  abstract = 	"Truncated distributions of the exponential family have great influence in the simulation models. This paper discusses the truncated Weibull distribution specifically. The truncation of the distribution is achieved by the Maximum Likelihood Estimation method or combined with the expectation and variance expressions. After the fitting of distribution, the goodness-of-fit tests (the Chi-Square test and the Kolmogorov-Smirnov test) are executed to rule out the rejected hypotheses. Finally the distributions are integrated in various simulation models, e. g. shipment consolidation model, to compare the influence of truncated and original versions of Weibull distribution on the model.",
  issn = 	"2192-9084",
  doi = 	"10.2195/lj_Proc_fu_en_201210_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-34525"
}
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TY  - JOUR
AU  - Fu, Haichen
AU  - Noche, Bernd
PY  - 2012
DA  - 2012//
TI  - Integration of Truncated Distributions in Exponential Family with Simulation Models of Logistics and Supply Chain Management
JO  - Logistics Journal
VL  - 2012
IS  - 01
AB  - Truncated distributions of the exponential family have great influence in the simulation models. This paper discusses the truncated Weibull distribution specifically. The truncation of the distribution is achieved by the Maximum Likelihood Estimation method or combined with the expectation and variance expressions. After the fitting of distribution, the goodness-of-fit tests (the Chi-Square test and the Kolmogorov-Smirnov test) are executed to rule out the rejected hypotheses. Finally the distributions are integrated in various simulation models, e. g. shipment consolidation model, to compare the influence of truncated and original versions of Weibull distribution on the model.
SN  - 2192-9084
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-34525
DO  - 10.2195/lj_Proc_fu_en_201210_01
ID  - fu2012
ER  -
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ISI

PT Journal
AU Fu, H
   Noche, B
TI Integration of Truncated Distributions in Exponential Family with Simulation Models of Logistics and Supply Chain Management
SO Logistics Journal
PY 2012
VL 2012
IS 01
DI 10.2195/lj_Proc_fu_en_201210_01
AB Truncated distributions of the exponential family have great influence in the simulation models. This paper discusses the truncated Weibull distribution specifically. The truncation of the distribution is achieved by the Maximum Likelihood Estimation method or combined with the expectation and variance expressions. After the fitting of distribution, the goodness-of-fit tests (the Chi-Square test and the Kolmogorov-Smirnov test) are executed to rule out the rejected hypotheses. Finally the distributions are integrated in various simulation models, e. g. shipment consolidation model, to compare the influence of truncated and original versions of Weibull distribution on the model.
ER
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Bibliographic Citation Logistics Journal : referierte Veröffentlichungen, Vol. 2012, Iss. 01
Title

Integration of Truncated Distributions in Exponential Family with Simulation Models of Logistics and Supply Chain Management (eng)

Integration von gekürzten Verteilungen der exponentialen Familie mit Simulationsmodellen in Logistik und Supply Chain Management (ger)
Author Haichen Fu, Bernd Noche
Language eng
Abstract Truncated distributions of the exponential family have great influence in the simulation models. This paper discusses the truncated Weibull distribution specifically. The truncation of the distribution is achieved by the Maximum Likelihood Estimation method or combined with the expectation and variance expressions. After the fitting of distribution, the goodness-of-fit tests (the Chi-Square test and the Kolmogorov-Smirnov test) are executed to rule out the rejected hypotheses. Finally the distributions are integrated in various simulation models, e. g. shipment consolidation model, to compare the influence of truncated and original versions of Weibull distribution on the model. Gekürzte Verteilungen der exponentialen Familie haben großen Einfluss auf die Simulationsmodelle. Dieser Beitrag konzentriert sich auf die gekürzte Weibull-Verteilung. Die Verkürzung der Verteilung wird durch die Maximum-Likelihood-Estimation-Methode oder eine Kombination mit Erwartungswert und Varianz erreicht. Danach werden die Anpassungstests (z. B. Chi-Quadrat-Test und Kolmogorov-Smirnov-Test) durchgeführt, um die falschen Hypothesen zu beseitigen. Weiterhin wird die gekürzte Weibull-Verteilung in einem Lieferungs-Konsolidation-Modell integriert, um den Einfluss von gekürzten und originalen Verteilungen zu vergleichen
Subject
DDC 620
Rights fDPPL
URN: urn:nbn:de:0009-14-34525
DOI https://doi.org/10.2195/lj_Proc_fu_en_201210_01