Regression Using JMP

(1)
Regression Using JMP image
ISBN-10:

1590471601

ISBN-13:

9781590471609

Edition: 1
Released: Jun 11, 2003
Publisher: SAS Publishing
Format: Paperback, 288 pages
Related ISBN: 9780471483076

Description:

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.

Best prices to buy, sell, or rent ISBN 9781590471609




Frequently Asked Questions about Regression Using JMP

You can buy the Regression Using JMP book at one of 20+ online bookstores with BookScouter, the website that helps find the best deal across the web. Currently, the best offer comes from and is $ for the .

The price for the book starts from $12.85 on Amazon and is available from 5 sellers at the moment.

If you’re interested in selling back the Regression Using JMP book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.

As for the Regression Using JMP book, the best buyback offer comes from and is $ for the book in good condition.

Not enough insights yet.

Not enough insights yet.