Applied Logistic Regression Analysis

by Scott Menard

The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included.  

128 pages, Kindle Edition

First published June 29, 1995

Reviews

[Nmoversae Company · Rating 5 out of 5]

I enjoyed reading this book
شركة نقل اثاث
شركة نقل اثاث دبي
نقل عفش في العين
نقل أثاث الشارقة
نقل اثاث في دبي
نقل اثاث الفجيرة
نقل اثاث خورفكان
نقل اثاث العين
نقل اثاث الشارقة
نقل اثاث الرويس
نقل اثاث راس الخيمة
نقل اثاث المصفح

[J. Scott Frampton · Rating 3 out of 5]

This is a good book. It provides a clear understanding of logistic regression analysis. I use it as a textbook for a number of my statistics courses.

[Steven Peterson · Rating 4 out of 5]

Logistic regression analysis is an analogue to multiple regression--with the dependent variable pitched at the dichotomous level (just two values). It is a pretty sturdy statistical technique, not demanding a lot of assumptions about the nature of dependent and independent variables. This book is not terribly accessible (I get headaches in some sections), but it is a very nice brief introduction to the subject.

[Walker*Management*Library · Rating 5 out of 5]

Recommended by Dawn Iacobucci for wannabe geeks.