Ebook Download Logistic Regression: A Self-Learning Text

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Logistic Regression: A Self-Learning Text

Logistic Regression: A Self-Learning Text


Logistic Regression: A Self-Learning Text


Ebook Download Logistic Regression: A Self-Learning Text

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Logistic Regression: A Self-Learning Text

Product details

Hardcover: 513 pages

Publisher: Springer; 2nd edition (August 12, 2002)

Language: English

ISBN-10: 0718513339

ISBN-13: 978-0718513337

ASIN: 0387953973

Product Dimensions:

8.5 x 1.2 x 9.5 inches

Shipping Weight: 2.7 pounds (View shipping rates and policies)

Average Customer Review:

4.4 out of 5 stars

18 customer reviews

Amazon Best Sellers Rank:

#956,295 in Books (See Top 100 in Books)

It is a long wordy introduction to logistic regression. The good point about this book is that it has a lot of exercises (most of them simiple) that strength your understanding. It also has answers. However, the material can be condensed into 1/4 of its 700 pages easily. Other books like Agresti's books on categorical analysis are far more condensed and more difficult to digest. I think this is a good book for beginners to learn logistic regression or regression in general.

good

Written in a very clear way showing all the logical steps and many examples, including code at the back fro common stats packages. It starts each topic in a very way (too basic for me), but builds you up to a high technical level. The book provides many practise examples with answers and so is thus good for self-learning.

Very Good as described and packaged very well.

New book

This book contains a detailed text along with a "presentation" next to the text, much like a Powerpoint presentation, which allows you to skim the material efficiently. I highly recommend this book for logistic modeling classes.

Very good book, easy to learn from! I would highly suggest this reading for anyone taking a logistic regression class.

Very annoying format / layout of the text with regards to supporting figures, equations, illustrations, etc. - everything placed in the margins in a difficult to read font. Most annoying is the author's habit of spelling out equations i.e. 1/(1+2) would be described as "one over the quantity of one plus two" - can't get past this and have given up on the text.

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Logistic Regression: A Self-Learning Text PDF

Logistic Regression: A Self-Learning Text PDF

Logistic Regression: A Self-Learning Text PDF
Logistic Regression: A Self-Learning Text PDF