logo

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

Semiparametric Regression 1st Edition David Ruppert M P Wand

  • SKU: BELL-1011230
Semiparametric Regression 1st Edition David Ruppert M P Wand
$ 31.00 $ 45.00 (-31%)

4.4

22 reviews

Semiparametric Regression 1st Edition David Ruppert M P Wand instant download after payment.

Publisher: Cambridge University Press
File Extension: PDF
File size: 3.06 MB
Pages: 402
Author: David Ruppert, M. P. Wand, R. J. Carroll
ISBN: 9780511066832, 9780521780506, 9780521785167, 051106683X, 0521780500, 0521785162
Language: English
Year: 2003
Edition: 1

Product desciption

Semiparametric Regression 1st Edition David Ruppert M P Wand by David Ruppert, M. P. Wand, R. J. Carroll 9780511066832, 9780521780506, 9780521785167, 051106683X, 0521780500, 0521785162 instant download after payment.

Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models.

Related Products