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://ebooknice.com/page/post?id=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.
EbookNice Team
Status:
Available4.6
16 reviewsISBN-10 : 0471221759
ISBN-13 : 9780471221753
Author: Paul D. Allison
Written in an informal and non-technical style, this book first explains the theory behind logistic regression and then shows how to implement it using the SAS System. Allison includes several detailed, real-world examples of the social sciences to provide readers with a better understanding of the material. He also explores the differences and similarities among the many generalizations of the logistic regression model.
Chapter 1. Introduction.
Chapter 2. Binary Logit Analysis: Basics.
Chapter 3. Binary Logit Analysis: Details and Options.
Chapter 4. Logit Analysis of Contingency Tables.
Chapter 5. Multinomial Logit Analysis.
Chapter 6. Logit Analysis for Ordered Categories.
Chapter 7. Discrete Choice Analysis.
Chapter 8. Logit Analysis of Longitudinal and Other Clustered Data.
Chapter 9. Poisson Regression.
Chapter 10. Loglinear Analysis of Contigency Tables.
what is the main purpose of logistic regression
what is logistic regression and how does it work
logistic regression using sas theory and application
logistic regression using sas
logistic regression in sas step by step
Tags: Logistic Regression, Using, SAS System, Theory, Application, Paul Allison