Applied Linear Regression Models. Este artículo no está disponible.
Neter, John, Kutner, Michael H., Nachtsheim, Christopher J., Wasserman, William
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Idioma: inglés
Editorial: McGraw-Hill Education, 1996
- Tapa dura
- Usado
Librería: Better World Books, Mishawaka, IN, Estados Unidos de AmericaBetter World Books
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Descripción del artículo del vendedor
Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
N° de ref. del artículo 4351749-6
- Título
- Applied Linear Regression Models
- Autor
- Neter, John, Kutner, Michael H., Nachtsheim, Christopher J., Wasserman, William
- Editorial
- McGraw-Hill Education
- Año de publicación
- 1996
- Estado
- Good
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 025608601X
- ISBN 13
- 9780256086010
- Edición
- 3ª Edición
- Peso del artículo
- 1,523 libras
- Dimensiones
- N/A
Providing a blend of theory and application, this text emphasizes understanding concepts, which are demonstrated by means of worked-out examples. The theoretical side enables applications of regression analysis to be carried out successfully. Computer and graphic plots focus the text on analysis and models, and discussion of regression diagnostics includes the DFBETAS, DFFITS, and PRESS measures. Model building is examined in order to allow students to see how the model-building process integrates many of the elements considered in earlier chapters. This edition includes new topics, such as: robust tests for constancy of the error variance, smoothing techniques to explore the shape of the regression function, robust regression and non-parametric regression techniques.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
Providing a blend of theory and application, this text emphasizes understanding concepts, which are demonstrated by means of worked-out examples. The theoretical side enables applications of regression analysis to be carried out successfully. Computer and graphic plots focus the text on analysis and models, and discussion of regression diagnostics includes the DFBETAS, DFFITS, and PRESS measures. Model building is examined in order to allow students to see how the model-building process integrates many of the elements considered in earlier chapters. This edition includes new topics, such as: robust tests for constancy of the error variance, smoothing techniques to explore the shape of the regression function, robust regression and non-parametric regression techniques.
“Acerca de” puede pertenecer a otra edición de este título.