Posted by **Willson** at Nov. 2, 2016

English | 2009 | ISBN: 052189560X | 484 pages | PDF | 7.3 MB

Posted by **libr** at Feb. 29, 2016

English | 2009 | ISBN: 052189560X | 484 pages | EPUB | 5 MB

Posted by **interes** at Nov. 18, 2014

English | 2009 | ISBN: 052189560X | 484 pages | EPUB | 5 MB

Posted by **interes** at Dec. 19, 2015

English | ISBN: 1107011795 | 2012 | PDF + EPUB | 598 pages | 26 + 35 MB

Posted by **viserion** at June 21, 2013

ISBN: 1107011795 | 2012 | PDF | 598 pages | 26 MB

Posted by **arundhati** at Dec. 5, 2012

2012 | ISBN-10: 1107011795 | EPUB | 600 pages | 35 MB

Posted by **readerXXI** at Nov. 21, 2016

English | 2016 | ISBN: 0826131832 | 414 Pages | True PDF | 3.79 MB

This book describes an innovative model for helping APRN students develop the clinical reasoning skills required to navigate complex patient care needs and coordination in advanced nursing practice.

Posted by **interes** at Jan. 19, 2016

English | 2015 | ISBN: 1439886482 | 276 pages | PDF | 9 MB

Posted by **Rare-1** at July 14, 2015

English | Springer (2008) | ISBN-10: 3540786562 | 206 pages | ُPDF | 7.40 MB

This book presents methodologies for the Bayesian estimation of GARCH models and their application to financial risk management. The study of these models from a Bayesian viewpoint is relatively recent and can be considered very promising due to the advantages of the Bayesian approach, in particular the possibility of obtaining small-sample results and integrating these results in a formal decision model. The first two chapters introduce the work and give an overview of the Bayesian paradigm for inference. The next three chapters describe the estimation of the GARCH model with Normal innovations and the linear regression models with conditionally Normal and Student-t-GJR errors. The sixth chapter shows how agents facing different risk perspectives can select their optimal Value at Risk Bayesian point estimate and documents that the differences between individuals can be substantial in terms of regulatory capital. The last chapter proposes the estimation of a Markov-switching GJR model.

Posted by **BUGSY** at May 15, 2015

English | 2000 | ISBN: 9048155606 | 444 Pages | PDF | 14 MB

This book contains leading survey papers on the various aspects of Abduction, both logical and numerical approaches. Abduction is central to all areas of applied reasoning, including artificial intelligence, philosophy of science, machine learning, data mining and decision theory, as well as logic itself.