Search Results

Constructing and Testing Logistic Regression Models for Binary Data

Download or Read eBook Constructing and Testing Logistic Regression Models for Binary Data PDF written by Anne F. Bradley and published by . This book was released on 1992 with total page 478 pages. Available in PDF, EPUB and Kindle.
Constructing and Testing Logistic Regression Models for Binary Data
Author :
Publisher :
Total Pages : 478
Release :
ISBN-10 : OSU:32435055980346
ISBN-13 :
Rating : 4/5 (46 Downloads)

Book Synopsis Constructing and Testing Logistic Regression Models for Binary Data by : Anne F. Bradley

Book excerpt:


Constructing and Testing Logistic Regression Models for Binary Data Related Books

Constructing and Testing Logistic Regression Models for Binary Data
Language: en
Pages: 478
Authors: Anne F. Bradley
Categories: Abies grandis
Type: BOOK - Published: 1992 - Publisher:

DOWNLOAD EBOOK

Constructing and Testing Logistic Regression Models for Binary Data
Language: en
Pages: 40
Authors: Don O. Loftsgaarden
Categories: Forest fire forecasting
Type: BOOK - Published: 1992 - Publisher:

DOWNLOAD EBOOK

Practical Guide to Logistic Regression
Language: en
Pages: 170
Authors: Joseph M. Hilbe
Categories: Mathematics
Type: BOOK - Published: 2016-04-05 - Publisher: CRC Press

DOWNLOAD EBOOK

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary res
Logistic Regression Models
Language: en
Pages: 658
Authors: Joseph M. Hilbe
Categories: Mathematics
Type: BOOK - Published: 2009-05-11 - Publisher: CRC Press

DOWNLOAD EBOOK

Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered
Handbook of Regression Modeling in People Analytics
Language: en
Pages: 272
Authors: Keith McNulty
Categories: Business & Economics
Type: BOOK - Published: 2021-07-29 - Publisher: CRC Press

DOWNLOAD EBOOK

Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners
Scroll to top