Investment in Energy Assets Under Uncertainty, L.M. Abadie; J.M. Chamorro

Автор: Martin Neisen , Stefan Roth
Название: Basel IV - The Next Generation of Risk Weighted Assets
ISBN: 3527509186 ISBN-13(EAN): 9783527509188
Издательство: Wiley
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Цена: 63360.00 T
Наличие на складе: Поставка под заказ.
Описание: In reaction to the financial market crisis that started in 2007, the Basel Committee on Banking Supervision substantially revised its existing framework for regulation, supervision and risk management in the banking sector. This revision was introduced with the so-called Basel III framework in December 2010.

Автор: Shenkman
Название: 6-Hour Guide to Protecting Your Assets - How to Protect Your Hard Earned Assets from Creditors & Claimants
ISBN: 0471430579 ISBN-13(EAN): 9780471430575
Издательство: Wiley
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Цена: 22170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: SIMPLE, AFFORDABLE STEPS YOU CAN TAKE TO PROTECT WHAT`S YOURS By the time you`re named as a defendant in a lawsuit or divorce proceeding, it may be too late to protect your assets. The time to shield the hard-won fruits of your labor is now! Fortunately, protecting your assets can be much easier and far less expensive than you think.

Автор: Svetlana Boyarchenko; Sergei Levendorskii
Название: Irreversible Decisions under Uncertainty
ISBN: 3642092934 ISBN-13(EAN): 9783642092930
Издательство: Springer
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Цена: 172350.00 T
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Описание: Here, two highly experienced authors present an alternative approach to optimal stopping problems. The basic ideas and techniques of the approach can be explained much simpler than the standard methods in the literature on optimal stopping problems.

Автор: Antonio J. Conejo; Miguel Carri?n; Juan M. Morales
Название: Decision Making Under Uncertainty in Electricity Markets
ISBN: 1461426782 ISBN-13(EAN): 9781461426783
Издательство: Springer
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Цена: 278580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust.