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

Data Analysis Using The Leastsquares Method 1st Edition John Wolberg

  • SKU: BELL-932870
Data Analysis Using The Leastsquares Method 1st Edition John Wolberg
$ 31.00 $ 45.00 (-31%)

4.4

42 reviews

Data Analysis Using The Leastsquares Method 1st Edition John Wolberg instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 6.93 MB
Pages: 264
Author: John Wolberg
ISBN: 9783540256748, 9783540317203, 3540256741, 3540317201
Language: English
Year: 2006
Edition: 1

Product desciption

Data Analysis Using The Leastsquares Method 1st Edition John Wolberg by John Wolberg 9783540256748, 9783540317203, 3540256741, 3540317201 instant download after payment.

The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full power of the method is overlooked and very few books deal with this subject at the level that it deserves. The purpose of Data Analysis Using the Method of Least Squares is to fill this gap and include the type of information required to help scientists and engineers apply the method to problems in their special fields of interest. In addition, graduate students in science and engineering doing work of experimental nature can benefit from this book. Particularly, both linear and non-linear least squares, the use of experimental error estimates for data weighting, procedures to include prior estimates, methodology for selecting and testing models, prediction analysis, and some non-parametric methods are discussed.

Related Products