Results 291 to 300 of about 1,332,847 (317)
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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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European Journal of Operational Research, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Slats, P.A. +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Slats, P.A. +3 more
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1997
Discrete mixture distribution models (MDM) assume that observed data do not stem from a homogeneous population of individuals but are a mixture of data from two or more latent populations (Everitt and Hand, 1981; Titterington et al., 1985). Applied to item response data this means that a particular IRT model does not hold for the entire sample but that
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Discrete mixture distribution models (MDM) assume that observed data do not stem from a homogeneous population of individuals but are a mixture of data from two or more latent populations (Everitt and Hand, 1981; Titterington et al., 1985). Applied to item response data this means that a particular IRT model does not hold for the entire sample but that
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2019
Logistics is the lifeblood of any organization and especially so for organization in the Department of Defense. Logistics has been defined by individuals such as Jomini, as “the art of moving armies,” which includes providing for their supplies and establishing lines of supplies.
William P. Fox, Robert Burks
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Logistics is the lifeblood of any organization and especially so for organization in the Department of Defense. Logistics has been defined by individuals such as Jomini, as “the art of moving armies,” which includes providing for their supplies and establishing lines of supplies.
William P. Fox, Robert Burks
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1997
The vehicle routing models discussed in Part II assume that the frequency, timing and sizes of customer deliveries are predetermined. There are however many distribution problems in which the vehicle schedules and the timing and size of the customer deliveries are (or should be) simultaneously determined.
Julien Bramel, David Simchi-Levi
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The vehicle routing models discussed in Part II assume that the frequency, timing and sizes of customer deliveries are predetermined. There are however many distribution problems in which the vehicle schedules and the timing and size of the customer deliveries are (or should be) simultaneously determined.
Julien Bramel, David Simchi-Levi
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2011
The chapter introduces logistic spline model that combines the principle of sigmoidal growth and the concept of interpolation splines. Logistic spline smoothly joins the latest (known) data about the number of product users with the assumed number of product users in future, and locally has a form of logistic law of growth .Applications of developed ...
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The chapter introduces logistic spline model that combines the principle of sigmoidal growth and the concept of interpolation splines. Logistic spline smoothly joins the latest (known) data about the number of product users with the assumed number of product users in future, and locally has a form of logistic law of growth .Applications of developed ...
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2003
Differential equation models, whether ordinary, delay, partial or stochastic, imply a continuous overlap of generations. Many species leave no overlap between successive generations and so population growth is in discrete steps. For primitive organisms, these discrete steps can be quite short, and hence a continuous (in time) model may be a reasonable ...
Anatoly Swishchuk, Jianhong Wu
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Differential equation models, whether ordinary, delay, partial or stochastic, imply a continuous overlap of generations. Many species leave no overlap between successive generations and so population growth is in discrete steps. For primitive organisms, these discrete steps can be quite short, and hence a continuous (in time) model may be a reasonable ...
Anatoly Swishchuk, Jianhong Wu
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2009
Preface Introduction The Normal Model Foundation of the Binomial Model Historical and Software Considerations Chapter Profiles Concepts Related to the Logistic Model 2 x 2 Table Logistic Model 2 x k Table Logistic Model Modeling a Quantitative Predictor Logistic Modeling Designs Estimation Methods Derivation of the IRLS Algorithm IRLS Estimation ...
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Preface Introduction The Normal Model Foundation of the Binomial Model Historical and Software Considerations Chapter Profiles Concepts Related to the Logistic Model 2 x 2 Table Logistic Model 2 x k Table Logistic Model Modeling a Quantitative Predictor Logistic Modeling Designs Estimation Methods Derivation of the IRLS Algorithm IRLS Estimation ...
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2011
Logistic model is widely used growth model with many useful properties for technological and market development forecasting. The chapter presents developed modifications of the model that are suitable for particular cases of new product adoption forecasting. Limitations of the logistic model are shown and discussed.
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Logistic model is widely used growth model with many useful properties for technological and market development forecasting. The chapter presents developed modifications of the model that are suitable for particular cases of new product adoption forecasting. Limitations of the logistic model are shown and discussed.
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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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