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

Regression Using Jmp 1st Edition Rudolf J Freund Ramon C Littell Lee Creighton

  • SKU: BELL-2172258
Regression Using Jmp 1st Edition Rudolf J Freund Ramon C Littell Lee Creighton
$ 31.00 $ 45.00 (-31%)

5.0

40 reviews

Regression Using Jmp 1st Edition Rudolf J Freund Ramon C Littell Lee Creighton instant download after payment.

Publisher: SAS Publishing
File Extension: PDF
File size: 2.86 MB
Pages: 283
Author: Rudolf J. Freund; Ramon C. Littell; Lee Creighton
ISBN: 1590471601, 9781590471609
Language: English
Year: 2003
Edition: 1

Product desciption

Regression Using Jmp 1st Edition Rudolf J Freund Ramon C Littell Lee Creighton by Rudolf J. Freund; Ramon C. Littell; Lee Creighton 1590471601, 9781590471609 instant download after payment.

Filled with examples, Regression Using JMP introduces you to the basics of regression analysis using JMP software. You will learn how to perform regression analyses using a wide variety of models, including linear and nonlinear models. Taking a tutorial approach, the authors cover the customary Fit Y by X and Fit Model platforms, as well as the new features and capabilities of JMP Version 5. Output is covered in helpful detail. Thorough discussion of the following is also presented: confidence limits, examples using JMP scripting language, polynomial and smoothing models, regression in the context of linear model methodology, and diagnosis of and remedies for data problems including outliers and collinearity. Statistical consultants familiar with regression analysis and basic JMP concepts will appreciate the conversational, "what to look for" and "what if" scenarios presented. Non-statisticians with a working knowledge of statistical concepts will learn how to use JMP successfully for data analysis.

Related Products