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Optimisation, Econometric and Financial Analysis

Advances in Computational Management Science 9

Erschienen am 22.11.2010, 1. Auflage 2007
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Bibliografische Daten
ISBN/EAN: 9783642071713
Sprache: Englisch
Umfang: x, 278 S.
Einband: kartoniertes Buch

Beschreibung

InhaltsangabeOptimisation Models and Methods: A Supply Chain Network Perspective for Electric Power Generation, Supply, Transmission, and Consumption.- Worst-Case Modelling for Management Decisions under Incomplete Information, with Application to Electricity Spot Markets.- An Approximate Winner Determination Algorithm for Hybrid Procurement Mechanisms in Logistics.- Proximal-ACCPM: A Versatile Oracle Based Optimization Method.- A Survey of Different Integer Programming Formulations of the Travelling Salesman Problem.- Econometric Modelling and Prediction: The Threshold Accepting Optimization Algorithm in Economics and Statistics.- The Autocorrelation Functions in SETARMA Models.- Trend Estimation and De-Trending.- Non-Dyadic Wavelet Analysis.- Measuring Core Inflation by Multivariate Structural Time Series Models.- Financial Modelling: Random Portfolios for Performance Measurement.- Real Options with Random Controls, Rare Events, and Risk-to-Ruin.

Produktsicherheitsverordnung

Hersteller:
Springer Verlag GmbH
juergen.hartmann@springer.com
Tiergartenstr. 17
DE 69121 Heidelberg

Autorenportrait

InhaltsangabeOptimisation Models and Methods: A Supply Chain Network Perspective for Electric Power Generation, Supply, Transmission, and Consumption.- Worst-Case Modelling for Management Decisions under Incomplete Information, with Application to Electricity Spot Markets.- An Approximate Winner Determination Algorithm for Hybrid Procurement Mechanisms in Logistics.- Proximal-ACCPM: A Versatile Oracle Based Optimization Method.- A Survey of Different Integer Programming Formulations of the Travelling Salesman Problem.- Econometric Modelling and Prediction: The Threshold Accepting Optimization Algorithm in Economics and Statistics.- The Autocorrelation Functions in SETARMA Models.- Trend Estimation and De-Trending.- Non-Dyadic Wavelet Analysis.- Measuring Core Inflation by Multivariate Structural Time Series Models.- Financial Modelling: Random Portfolios for Performance Measurement.- Real Options with Random Controls, Rare Events, and Risk-to-Ruin.

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