Más información sobre el libro
Applied Linear Regression, Third Edition is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this Third Edition stresses using graphical methods to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results. This text is an excellent tool for learning how to use linear regression analysis techniques to solve and gain insight into real-life problems.
Compra de libros
Wiley Series in Probability and Mathematical Statistics: Applied Linear Regression, Sanford Weisberg
- Idioma
- Publicado en
- 1980
Métodos de pago
Nadie lo ha calificado todavía.
- Título
- Wiley Series in Probability and Mathematical Statistics: Applied Linear Regression
- Idioma
- Inglés
- Autores
- Sanford Weisberg
- Editorial
- John Wiley & Sons
- Publicado en
- 1980
- Páginas
- 283
- ISBN10
- 0471044199
- ISBN13
- 9780471044192
- Serie
- Etiquetas
- No ficción, Libros de texto, Ciencia y Matemáticas, Matemáticas
- Descripción
- Applied Linear Regression, Third Edition is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this Third Edition stresses using graphical methods to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results. This text is an excellent tool for learning how to use linear regression analysis techniques to solve and gain insight into real-life problems.


