EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Simulating Copulas Stochastic Models Sampling Algorithms And Applications Janfrederik Mai

Name: Simulating Copulas Stochastic Models Sampling Algorithms And Applications Janfrederik Mai
SKU: BELL-4718392
Price: 31.00 USD
Availability: InStock
Rating: 4.8 (104 reviews)

SKU: BELL-4718392

$ 31.00 ~~$ 45.00~~ (-31%)

4.8

104 reviews

Simulating Copulas Stochastic Models Sampling Algorithms And Applications Janfrederik Mai instant download after payment.

Publisher: Imperial College Press

File Extension: PDF

File size: 2.97 MB

Pages: 295

Author: Jan-Frederik Mai, Matthias Scherer

ISBN: 9781848168749, 1848168748

Language: English

Year: 2012

Product desciption

Simulating Copulas Stochastic Models Sampling Algorithms And Applications Janfrederik Mai by Jan-frederik Mai, Matthias Scherer 9781848168749, 1848168748 instant download after payment.

This book provides the reader with a background on simulating copulas and multivariate distributions in general. It unifies the scattered literature on the simulation of various families of copulas (elliptical, Archimedean, Marshall-Olkin type, and more) as well as on different construction principles (factor models, pair-copula construction, and more). The book is self-contained and unified in presentation and can be used as a textbook for advanced undergraduate or graduate students with a firm background in stochastics. Alongside the theoretical foundation, ready-to-implement algorithms and many examples make this book a valuable tool for anyone who is applying the methodology.