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Artikelzustand
Sehr gut: Buch, das nicht neu aussieht und gelesen wurde, sich aber in einem hervorragenden Zustand ...
Artist
Hilbe, Joseph M.
Brand
N/A
EAN
9781420075755
ISBN
1420075756
Book Title
Logistic Regression Models (Chapman & Hall/CRC Texts in Statis...
Release Title
Logistic Regression Models (Chapman & Hall/CRC Texts in Statis...
Colour
N/A
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Über dieses Produkt

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1420075756
ISBN-13
9781420075755
eBay Product ID (ePID)
66583806

Product Key Features

Number of Pages
656 Pages
Publication Name
Logistic Regression Models
Language
English
Publication Year
2009
Subject
Probability & Statistics / General, Probability & Statistics / Regression Analysis, Statistics
Type
Textbook
Author
Joseph M. Hilbe
Subject Area
Mathematics, Social Science
Series
Chapman and Hall/Crc Texts in Statistical Science Ser.
Format
Hardcover

Dimensions

Item Height
1.4 in
Item Weight
36.9 Oz
Item Length
9.6 in
Item Width
6.5 in

Additional Product Features

Intended Audience
College Audience
LCCN
2008-042667
Reviews
This book really does cover everything you ever wanted to know about logistic regression ... with updates available on the author's website. Hilbe, a former national athletics champion, philosopher, and expert in astronomy, is a master at explaining statistical concepts and methods. Readers familiar with his other expository work will know what to expect--great clarity. The book provides considerable detail about all facets of logistic regression. No step of an argument is omitted so that the book will meet the needs of the reader who likes to see everything spelt out, while a person familiar with some of the topics has the option to skip "obvious" sections. The material has been thoroughly road-tested through classroom and web-based teaching. ... The focus is on helping the reader to learn and understand logistic regression. The audience is not just students meeting the topic for the first time, but also experienced users. I believe the book really does meet the author's goal ... . --Annette J. Dobson, Biometrics, June 2012 Overall this is a comprehensive book, which will provide a very useful resource and handbook for anyone whose work involves modelling binary data. --David J. Hand, International Statistical Review(2011), 79 ... useful as a textbook in a course on logistic regression. --Andreas Rosenblad, Technometrics, May 2011 .. . --Annette J. Dobson, Biometrics, June 2012 Overall this is a comprehensive book, which will provide a very useful resource and handbook for anyone whose work involves modelling binary data. --David J. Hand, International Statistical Review(2011), 79 ... useful as a textbook in a course on logistic regression. --Andreas Rosenblad, Technometrics, May 2011, Overall this is a comprehensive book, which will provide a very useful resource and handbook for anyone whose work involves modelling binary data. "David J. Hand, International Statistical Review(2011), 79, Overall this is a comprehensive book, which will provide a very useful resource and handbook for anyone whose work involves modelling binary data. -David J. Hand, International Statistical Review(2011), 79 … useful as a textbook in a course on logistic regression. -Andreas Rosenblad, Technometrics, May 2011, This book really does cover everything you ever wanted to know about logistic regression … with updates available on the author's website. Hilbe, a former national athletics champion, philosopher, and expert in astronomy, is a master at explaining statistical concepts and methods. Readers familiar with his other expository work will know what to expect-great clarity. The book provides considerable detail about all facets of logistic regression. No step of an argument is omitted so that the book will meet the needs of the reader who likes to see everything spelt out, while a person familiar with some of the topics has the option to skip "obvious" sections. The material has been thoroughly road-tested through classroom and web-based teaching. … The focus is on helping the reader to learn and understand logistic regression. The audience is not just students meeting the topic for the first time, but also experienced users. I believe the book really does meet the author's goal … . -Annette J. Dobson, Biometrics, June 2012 Overall this is a comprehensive book, which will provide a very useful resource and handbook for anyone whose work involves modelling binary data. -David J. Hand, International Statistical Review(2011), 79 … useful as a textbook in a course on logistic regression. -Andreas Rosenblad, Technometrics, May 2011, Overall this is a comprehensive book, which will provide a very useful resource and handbook for anyone whose work involves modelling binary data. -David J. Hand, International Statistical Review(2011), 79, This book really does cover everything you ever wanted to know about logistic regression e with updates available on the authore(tm)s website. Hilbe, a former national athletics champion, philosopher, and expert in astronomy, is a master at explaining statistical concepts and methods. Readers familiar with his other expository work will know what to expecte"great clarity. The book provides considerable detail about all facets of logistic regression. No step of an argument is omitted so that the book will meet the needs of the reader who likes to see everything spelt out, while a person familiar with some of the topics has the option to skip "obvious" sections. The material has been thoroughly road-tested through classroom and web-based teaching. e The focus is on helping the reader to learn and understand logistic regression. The audience is not just students meeting the topic for the first time, but also experienced users. I believe the book really does meet the authore(tm)s goal e . e"Annette J. Dobson, Biometrics, June 2012 Overall this is a comprehensive book, which will provide a very useful resource and handbook for anyone whose work involves modelling binary data. e"David J. Hand, International Statistical Review (2011), 79 e useful as a textbook in a course on logistic regression. e"Andreas Rosenblad, Technometrics, May 2011, This book really does cover everything you ever wanted to know about logistic regression ... with updates available on the author's website. Hilbe, a former national athletics champion, philosopher, and expert in astronomy, is a master at explaining statistical concepts and methods. Readers familiar with his other expository work will know what to expect--great clarity. The book provides considerable detail about all facets of logistic regression. No step of an argument is omitted so that the book will meet the needs of the reader who likes to see everything spelt out, while a person familiar with some of the topics has the option to skip "obvious" sections. The material has been thoroughly road-tested through classroom and web-based teaching. ... The focus is on helping the reader to learn and understand logistic regression. The audience is not just students meeting the topic for the first time, but also experienced users. I believe the book really does meet the author's goal ... . --Annette J. Dobson, Biometrics, June 2012 Overall this is a comprehensive book, which will provide a very useful resource and handbook for anyone whose work involves modelling binary data. --David J. Hand, International Statistical Review (2011), 79 ... useful as a textbook in a course on logistic regression. --Andreas Rosenblad, Technometrics, May 2011
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
519.5/36
Table Of Content
Preface Introduction The Normal Model Foundation of the Binomial Model Historical and Software Considerations Chapter Profiles Concepts Related to the Logistic Model 2 × 2 Table Logistic Model 2 × k Table Logistic Model Modeling a Quantitative Predictor Logistic Modeling Designs Estimation Methods Derivation of the IRLS Algorithm IRLS Estimation Maximum Likelihood Estimation Derivation of the Binary Logistic Algorithm Terms of the Algorithm Logistic GLM and ML Algorithms Other Bernoulli Models Model Development Building a Logistic Model Assessing Model Fit: Link Specification Standardized Coefficients Standard Errors Odds Ratios as Approximations of Risk Ratios Scaling of Standard Errors Robust Variance Estimators Bootstrapped and Jackknifed Standard Errors Stepwise Methods Handling Missing Values Modeling an Uncertain Response Constraining Coefficients Interactions Introduction Binary X Binary Interactions Binary X Categorical Interactions Binary X Continuous Interactions Categorical X Continuous Interaction Thoughts about Interactions Analysis of Model Fit Traditional Fit Tests for Logistic Regression Hosmer-Lemeshow GOF Test Information Criteria Tests Residual Analysis Validation Models Binomial Logistic Regression Overdispersion Introduction The Nature and Scope of Overdispersion Binomial Overdispersion Binary Overdispersion Real Overdispersion Concluding Remarks Ordered Logistic Regression Introduction The Proportional Odds Model Generalized Ordinal Logistic Regression Partial Proportional Odds Multinomial Logistic Regression Unordered Logistic Regression Independence of Irrelevant Alternatives Comparison to Multinomial Probit Alternative Categorical Response Models Introduction Continuation Ratio Models Stereotype Logistic Model Heterogeneous Choice Logistic Model Adjacent Category Logistic Model Proportional Slopes Models Panel Models Introduction Generalized Estimating Equations Unconditional Fixed Effects Logistic Model Conditional Logistic Models Random Effects and Mixed Models Logistic Regression Other Types of Logistic-Based Models Survey Logistic Models Scobit-Skewed Logistic Regression Discriminant Analysis Exact Logistic Regression Exact Methods Alternative Modeling Methods Conclusion Appendix A: Brief Guide to Using Stata Commands Appendix B: Stata and R Logistic Models Appendix C: Greek Letters and Major Functions Appendix D: Stata Binary Logistic Command Appendix E: Derivation of the Beta-Binomial Appendix F: Likelihood Function of the Adaptive Gauss-Hermite Quadrature Method of Estimation Appendix G: Data Sets Appendix H: Marginal Effects and Discrete Change References Author Index Subject Index Exercises and R Code appear at the end of most chapters.
Synopsis
Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The text illustrates how to apply the various models to health, environmental, physical, and social science data. Examples illustrate successful modeling The text first provides basic terminology and concepts, before explaining the foremost methods of estimation (maximum likelihood and IRLS) appropriate for logistic models. It then presents an in-depth discussion of related terminology and examines logistic regression model development and interpretation of the results. After focusing on the construction and interpretation of various interactions, the author evaluates assumptions and goodness-of-fit tests that can be used for model assessment. He also covers binomial logistic regression, varieties of overdispersion, and a number of extensions to the basic binary and binomial logistic model. Both real and simulated data are used to explain and test the concepts involved. The appendices give an overview of marginal effects and discrete change as well as a 30-page tutorial on using Stata commands related to the examples used in the text. Stata is used for most examples while R is provided at the end of the chapters to replicate examples in the text. Apply the models to your own data Data files for examples and questions used in the text as well as code for user-authored commands are provided on the book's website, formatted in Stata, R, Excel, SAS, SPSS, and Limdep. See Professor Hilbe discuss the book.
LC Classification Number
QA278.2.H53 2009

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