logo
Product categories

EbookNice.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://ebooknice.com/page/post?id=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.

EbookNice Team

(Ebook) Infinite divisibility of probability distributions on real line by Fred W. Steutel ISBN 9780824707248, 9780824756932, 0824707249, 0824756932

  • SKU: EBN-896560
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

5.0

16 reviews
Instant download (eBook) Infinite divisibility of probability distributions on real line after payment.
Authors:Fred W. Steutel
Pages:546 pages.
Year:2003
Editon:1
Publisher:Marcel Dekker
Language:english
File Size:2.71 MB
Format:pdf
ISBNS:9780824707248, 9780824756932, 0824707249, 0824756932
Categories: Ebooks

Product desciption

(Ebook) Infinite divisibility of probability distributions on real line by Fred W. Steutel ISBN 9780824707248, 9780824756932, 0824707249, 0824756932

Includes a separate section featuring approximately 100 examples.

Fundamental to theoretical probability and valuable in such applications as financial, insurance, and biological modeling and deconvolution problems in mathematical physics, infinite divisibility has proven to be a very profitable area of research. Reassessing classical theory and presenting new developments, Infinite Divisibility of Probability Distributions on the Real Line is a definitive, example-filled text focused on divisibility with respect to convolution and addition of independent random variables.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products