Logistic regression book

Date published 

 

Applied logistic regression / David W. Hosmer, Jr., Stanley Lemeshow. . When we worked on the First Edition of this book we were very lim-. "An interesting, useful, and well-written book on logistic regression models Hosmer and Lemeshow have used very little mathematics, have. mtn-i.info: Applied Logistic Regression (Wiley Series in Probability and Statistics) (): David W. Hosmer, Stanley Lemeshow: Books.

Author:CHIEKO HEINTZMAN
Language:English, Spanish, Portuguese
Country:Estonia
Genre:Health & Fitness
Pages:115
Published (Last):15.01.2016
ISBN:790-2-68418-119-9
Distribution:Free* [*Registration needed]
Uploaded by: ESPERANZA

77534 downloads 146814 Views 17.73MB ePub Size Report


Logistic Regression Book

mtn-i.info: Practical Guide to Logistic Regression (): Joseph M. Hilbe: Books. A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides . Hosmer and Lemeshow's (later eds. also Sturdivant) Applied Logistic Regression .

By using our site, you acknowledge that you have read and understand our Cookie Policy , Privacy Policy , and our Terms of Service. I would like to use matlab to build a logistic regression model which includes both categorical and continuous predictors. But first of all, I would like to figure out the comprehensive theory the assumptions, analysis, etc behind such model. Could anyone please suggest the best reference book for logistic regression model. I got some background in linear regression analysis. I cannot say that it is the best book though, because I have not read others on logistic regression. It think it is a standard work though. Although it is not specifically on logistic regression, Agresti's Categorical Data Analysis is recommended. Previous chapters could also provide some background about discrete distributions and statistical inference that might be helpful to understand models in the subsequent chapters. Possibly even better than a book, I can highly recommend Andrew Ng's coursera course on machine learning. It gives an excellent overview of several machine learning algorithms. The main advantages are that it both discusses the theory and discusses many practical things to worry about when implementing machine learning algorithms. What really makes it better than a book for you in my opinion is that it has programming exercies in matlab for most of the algorithms, including if I remember correctly both regression and categorization using logistic regression.

Practical Guide to Logistic Regression - CRC Press Book

David W. Hosmer Stanley Lemeshow. First published: Print ISBN: About this book From the reviews of the First Edition. Reviews "This well written, organized, comprehensive, and useful book will be appreciated by graduate students and researchers. Free Access.

Summary PDF Request permissions. PDF Request permissions. Tools Get online access For authors.

Serving as a guide between the author and readers, the book explains how to construct a logistic model, interpret coefficients and odds ratios, predict probabilities and their standard errors based on the model, and evaluate the model as to its fit. Using a variety of real data examples, mostly from health outcomes, the author offers a basic step-by-step guide to developing and interpreting observation and grouped logistic models as well as penalized and exact logistic regression.

He also gives a step-by-step guide to modeling Bayesian logistic regression.

Author s Bio Author. Reviews "The book presents many worked examples, and the choice of interesting data sets all of which are available to the reader is one of its greatest assets.

Applied Logistic Regression, 3rd Edition

Anyone who reads this book will therefore feel that they have a good understanding of this subject …" — Significance Magazine , February "Big Data is ascendant, but even the biggest data often boil down to a decision between two categories: Request an e-inspection copy. Share this Title. Recommend to Librarian. Related Titles.

Applied Categorical and Count Data Analysis. Logistic Regression Models.

Logistic Regression

Analysis of Categorical Data with R. Shopping Cart Summary. Items Subtotal.

View Cart. Offline Computer — Download Bookshelf software to your desktop so you can view your eBooks with or without Internet access. The country you have selected will result in the following: download Hardcover.

download Softcover. FAQ Policy. About this Textbook This very popular textbook is now in its third edition.

The new chapters are: Show all. From the reviews of the third edition: The left-hand column is like a collection of PowerPoint slides, including generic-style computer output and diagrams to visualize the relationship between concepts.

Each chapter contains about 10 exercises, some routine calculation and some asking for explanation of particular points. Answers are provided immediately.

TOP Related


Copyright © 2019 mtn-i.info. All rights reserved.
DMCA |Contact Us