Applied Logistic Regression (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section). Este artículo no está disponible.
David W. Hosmer Jr.; Stanley Lemeshow
64 valoraciones de Goodreads
Idioma: inglés
Editorial: Wiley-Interscience, 1989
Serie: Libro 115 de 358 - Wiley Series in Probability and Statistics
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- Usado
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de AmericaThriftBooks-Atlanta
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May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
N° de ref. del artículo G0471615536I4N00
- Título
- Applied Logistic Regression (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)
- Autor
- David W. Hosmer Jr.; Stanley Lemeshow
- Editorial
- Wiley-Interscience
- Año de publicación
- 1989
- Estado
- Very Good
- Sobrecubierta
- No Jacket
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 0471615536
- ISBN 13
- 9780471615538
- Peso del artículo
- 1,44 libras
- Serie
- Libro 115 de 358: Wiley Series in Probability and Statistics
This book discusses how to model a binary outcome variable from a linear regression analysis point of view. It develops the logistic regression model and describes its use in methods for modelling the relationship between a dichotomous outcome variable and a set of covariates. Discussion of the interpretation of this model follows. The text includes several data sets which are the source of the examples and exercises. The book also uses a number of software packages, including BMDP, EGRET, GLIM, SAS, and SYSTAT, to analyze data sets.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
This book discusses how to model a binary outcome variable from a linear regression analysis point of view. It develops the logistic regression model and describes its use in methods for modelling the relationship between a dichotomous outcome variable and a set of covariates. Discussion of the interpretation of this model follows. The text includes several data sets which are the source of the examples and exercises. The book also uses a number of software packages, including BMDP, EGRET, GLIM, SAS, and SYSTAT, to analyze data sets.
“Acerca de” puede pertenecer a otra edición de este título.
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