Results 291 to 300 of about 1,559,766 (320)
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Transportation Research Record: Journal of the Transportation Research Board, 2002
Urban freight systems are experiencing many problems due to higher levels of service and lower costs being demanded by shippers, with carriers having to operate in increasingly congested road conditions. Trucks operating in urban areas produce many negative impacts for society in terms of emissions, crashes, noise, and vibration.
Taniguchi, E, Thompson, RG
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Urban freight systems are experiencing many problems due to higher levels of service and lower costs being demanded by shippers, with carriers having to operate in increasingly congested road conditions. Trucks operating in urban areas produce many negative impacts for society in terms of emissions, crashes, noise, and vibration.
Taniguchi, E, Thompson, RG
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2017
This chapter will presents the current status and the main challenges of biomass logistics. Logistical aspects of the biomass supply chain will be delineated. It further provides a thorough description of different methodologies to design biomass value chains combined with relevant logistical assessment criteria. This includes also descriptions for how
Annevelink, Bert +6 more
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This chapter will presents the current status and the main challenges of biomass logistics. Logistical aspects of the biomass supply chain will be delineated. It further provides a thorough description of different methodologies to design biomass value chains combined with relevant logistical assessment criteria. This includes also descriptions for how
Annevelink, Bert +6 more
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Logistic Models with Diffusions [PDF]
, 2014 Population dispersal plays an important role in the population dynamics which arises from environmental and ecological gradients in the habitat. We assume that the systems under consideration are allowed to diffuse spatially besides evolving in time.
Ravi P. Agarwal +2 more
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A Generalized Logistic Tobit Model
Journal of quantitative economics, 1991This paper proposes the use of a generalisation of the Logistic distribution, the Burr Type II distribution, as the error structure in a Type I (Standard) Tobit model. The use of the Burr II is motivated through both an heterogeneity argument and by noticing the need for potentially non-symmetric distributions in Tobit models.
Fry, T, Orme, Chris D.
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PREDICTIVE DIAGNOSTICS FOR LOGISTIC MODELS
Statistics in Medicine, 1996Novel methodology is implemented to assess the predictive power of covariate information associated with sequential binary events. Logistic models are first fitted on the basis of a subset of the observations and then evaluated sequentially on the rest.
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International Journal of Physical Distribution & Materials Management, 1978
In a logistics system the number of possible applications of qualitative and quantitative modelling efforts is practically infinite. The situations or problems which can be analysed range from micro operations (e.g., analysing alternative order picking systems) to macro planning issues (e.g., determining the number and location of warehouses to be ...
Robert G. House, Jeffrey J. Karrenbauer
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In a logistics system the number of possible applications of qualitative and quantitative modelling efforts is practically infinite. The situations or problems which can be analysed range from micro operations (e.g., analysing alternative order picking systems) to macro planning issues (e.g., determining the number and location of warehouses to be ...
Robert G. House, Jeffrey J. Karrenbauer
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2019
Among the statistical preliminaries of education in the theory of gnostic clinical research, centrally important are, first, the precursors of logistic regression, culminating in the emergence of the General Linear Model; and then the generalization of this to the Generalized Linear Model, with logistic regression model a special case of this.
Albert Hofman +2 more
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Among the statistical preliminaries of education in the theory of gnostic clinical research, centrally important are, first, the precursors of logistic regression, culminating in the emergence of the General Linear Model; and then the generalization of this to the Generalized Linear Model, with logistic regression model a special case of this.
Albert Hofman +2 more
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1997
A supply chain is the collection of all components and functions associated with the creation and ultimate delivery of a product or service. Figure 2.1 illustrates an example product supply chain.
W. G. Nulty, H. D. Ratliff
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A supply chain is the collection of all components and functions associated with the creation and ultimate delivery of a product or service. Figure 2.1 illustrates an example product supply chain.
W. G. Nulty, H. D. Ratliff
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A program for logistic prediction modelling
Computer Programs in Biomedicine, 1985A computer program has been developed that can be used for analysing a binary outcome variable and a set of regressors of type interval with a logistic (i.e. nonlinear) model.
Björn Stenkvist +5 more
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A Polaris logistics model [PDF]
Naval Research Logistics Quarterly, 1964 AbstractThis paper presents a basic loss minimization model which has been applied in varying contexts for Polaris logistics problems. Definitive results are obtained in a general framework which extends the classic newsboy problem in two principal directions. First, probability distributions for demand are unrestricted. Second, a general framework for
Joseph P. Fennell +4 more
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