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Logistic Regression: From Introductory to Advanced Concepts and Applications

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
Book Title
Logistic Regression: From Introductory to Advanced Concepts and A
Publication Date
2009-04-01
Pages
392
ISBN
9781412974837
Subject Area
Technology & Engineering, Social Science
Publication Name
Logistic Regression : from Introductory to Advanced concepts and Applications
Item Length
9.7 in
Publisher
SAGE Publications, Incorporated
Subject
Military Science, Research
Publication Year
2009
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.1 in
Author
Scott Menard
Item Width
7.7 in
Item Weight
28 Oz
Number of Pages
392 Pages

Over dit product

Product Information

In this text, author Scott Menard provides coverage of not only the basic logistic regression model but also advanced topics found in no other logistic regression text. The book keeps mathematical notation to a minimum, making it accessible to those with more limited statistics backgrounds, while including advanced topics of interest to more statistically sophisticated readers. Not dependent on any one software package, the book discusses limitations to existing software packages and ways to overcome them. Key Features Examines the logistic regression model in detail Illustrates concepts with applied examples to help readers understand how concepts are translated into the logistic regression model Helps readers make decisions about the criteria for evaluating logistic regression models through detailed coverage of how to assess overall models and individual predictors for categorical dependent variables Offers unique coverage of path analysis with logistic regression that shows readers how to examine both direct and indirect effects using logistic regression analysis Applies logistic regression analysis to longitudinal panel data, helping students understand the issues in measuring change with dichotomous, nominal, and ordinal dependent variables Shows readers how multilevel change models with logistic regression are different from multilevel growth curve models for continuous interval or ratio-scaled dependent variables Logistic Regression is intended for courses such as Regression and Correlation, Intermediate/Advanced Statistics, and Quantitative Methods taught in departments throughout the behavioral, health, mathematical, and social sciences, including applied mathematics/statistics, biostatistics, criminology/criminal justice, education, political science, public health/epidemiology, psychology, and sociology.

Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
1412974836
ISBN-13
9781412974837
eBay Product ID (ePID)
109197401

Product Key Features

Author
Scott Menard
Publication Name
Logistic Regression : from Introductory to Advanced concepts and Applications
Format
Hardcover
Language
English
Subject
Military Science, Research
Publication Year
2009
Type
Textbook
Subject Area
Technology & Engineering, Social Science
Number of Pages
392 Pages

Dimensions

Item Length
9.7 in
Item Height
1.1 in
Item Width
7.7 in
Item Weight
28 Oz

Additional Product Features

LCCN
2008-049935
Intended Audience
College Audience
Lc Classification Number
Ha31.3.M46 2010
Table of Content
PrefaceChapter 1. Introduction: Linear Regression and Logistic RegressionChapter 2. Log-Linear Analysis, Logit Analysis, and Logistic RegressionChapter 3. Quantitative Approaches to Model Fit and Explained VariationChapter 4. Prediction Tables and Qualitative Approaches to Explained VariationChapter 5. Logistic Regression CoefficientsChapter 6. Model Specification, Variable Selection, and Model BuildingChapter 7. Logistic Regression Diagnostics and Problems of InferenceChapter 8. Path Analysis With Logistic Regression (PALR)Chapter 9. Polytomous Logistic Regression for Unordered Categorical VariablesChapter 10. Ordinal Logistic RegressionChapter 11. Clusters, Contexts, and Dependent Data: Logistic Regression for Clustered Sample Survey DataChapter 12. Conditional Logistic Regression Models for Related SamplesChapter 13. Longitudinal Panel Analysis With Logistic RegressionChapter 14. Logistic Regression for Historical and Developmental Change Models: Multilevel Logistic Regression and Discrete Time Event History AnalysisChapter 15. Comparisons: Logistic Regression and Alternative ModelsAppendix A: ESTIMATION FOR LOGISTIC REGRESSION MODELSAppendix B: PROOFS RELATED TO INDICES OF PREDICTIVE EFFICIENCYAppendix C: ORDINAL MEASURES OF EXPLAINED VARIATIONReferencesIndex
Copyright Date
2010
Illustrated
Yes

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