2017, ISBN: 1138106712

[EAN: 9781138106710], New book, [PU: Taylor & Francis Ltd, United Kingdom], Language: English. Brand new Book. Logistic Regression Models presents an overview of the full range of logisti… Mehr…

[EAN: 9781138106710], New book, [PU: Taylor & Francis Ltd, United Kingdom], Language: English. Brand new Book. 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 modelingThe 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 dataData 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., Books<

ISBN: 9781138106710

Paperback, [PU: Taylor & Francis Ltd], Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, an… Mehr…

Paperback, [PU: Taylor & Francis Ltd], 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., Probability & Statistics<

ISBN: 9781138106710

Logistic Regression Models presents an overview of the full range of logistic models including binary proportional ordered partially ordered and unordered categorical response regres… Mehr…

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 modelingThe 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 dataData files for examples and questions used in the text as well as code for user-authored commands are provided on the books website formatted in Stata R Excel SAS SPSS and Limdep. See Professor Hilbe discuss the book. new, Chapman & Hall<

ISBN: 9781138106710

Logistic Regression Modelspresents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regress… Mehr…

Logistic Regression Modelspresents 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 modelingThe 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 dataData 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. Books List_Books<

ISBN: 9781138106710

Logistic Regression Models Logistic-Regression-Models~~Joseph-M-Hilbe Science>Statistics & Probability>Statistics & Probability Paperback, Taylor & Francis