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

A Course In Large Sample Theory Ferguson Thomas Shelburne

Name: A Course In Large Sample Theory Ferguson Thomas Shelburne
SKU: BELL-9951926
Price: 31.00 USD
Availability: InStock
Rating: 4.25 (68 reviews)

SKU: BELL-9951926

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

4.3

68 reviews

A Course In Large Sample Theory Ferguson Thomas Shelburne instant download after payment.

Publisher: CRC Press

File Extension: PDF

File size: 9.15 MB

Author: Ferguson, Thomas Shelburne

ISBN: 9780412043710, 9781315136288, 9781351470063, 0412043718, 1315136287, 135147006X

Language: English

Year: 2002

Product desciption

A Course In Large Sample Theory Ferguson Thomas Shelburne by Ferguson, Thomas Shelburne 9780412043710, 9781315136288, 9781351470063, 0412043718, 1315136287, 135147006X instant download after payment.

A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting.The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are many examples and exercises with solutions. It is an ideal text for self study.
Abstract: A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting.The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are many examples and exercises with solutions. It is an ideal text for self study