Testing the Importance of Fixing Exogenously Some Parameters in Aggregate Modal Split Models, by Means of Sensitivity Analysis

Testing the Importance of Fixing Exogenously Some Parameters in Aggregate Modal Split Models, by Means of Sensitivity Analysis PDF Author: Juan de Dios Ortúzar
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Category :
Languages : en
Pages :

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Testing the Importance of Fixing Exogenously Some Parameters in Aggregate Modal Split Models, by Means of Sensitivity Analysis

Testing the Importance of Fixing Exogenously Some Parameters in Aggregate Modal Split Models, by Means of Sensitivity Analysis PDF Author: Juan de Dios Ortúzar
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Traffic Engineering & Control

Traffic Engineering & Control PDF Author:
Publisher:
ISBN:
Category : Traffic control
Languages : en
Pages : 688

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Modal Split Sensitivity Analysis

Modal Split Sensitivity Analysis PDF Author: Panagiotis P. Salpeas
Publisher:
ISBN:
Category :
Languages : en
Pages : 124

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Model Parametric Sensitivity Analysis and Nonlinear Parameter Estimation

Model Parametric Sensitivity Analysis and Nonlinear Parameter Estimation PDF Author: Malamas Caracotsios
Publisher:
ISBN:
Category : Parameter estimation
Languages : en
Pages : 488

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Modal split in function of various parameters

Modal split in function of various parameters PDF Author:
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ISBN:
Category :
Languages : en
Pages : 50

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Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation PDF Author: Kenneth Train
Publisher: Cambridge University Press
ISBN: 0521766559
Category : Business & Economics
Languages : en
Pages : 399

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Book Description
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Modal Split Models and Aggregation

Modal Split Models and Aggregation PDF Author: Local Government Operational Research Unit
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ISBN:
Category :
Languages : en
Pages : 5

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Approximation Methods for High Dimensional Simulation Results

Approximation Methods for High Dimensional Simulation Results PDF Author: Daniela Steffes-Lai
Publisher:
ISBN: 9783832591632
Category :
Languages : en
Pages :

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Modal Split Models and Aggregation

Modal Split Models and Aggregation PDF Author: A. Daly
Publisher:
ISBN:
Category :
Languages : en
Pages : 4

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Aggregate Modal Split Models - Refining the Goodness of Fit

Aggregate Modal Split Models - Refining the Goodness of Fit PDF Author: T. M. Hartley
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Category :
Languages : en
Pages : 8

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