Artículos relacionados a Regression: Linear Models in Statistics (Springer Undergradu...
Sinopsis
Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essential.
Regression: Linear Models in Statistics fills the gap between introductory statistical theory and more specialist sources of information. In doing so, it provides the reader with a number of worked examples, and exercises with full solutions.
The book begins with simple linear regression (one predictor variable), and analysis of variance (ANOVA), and then further explores the area through inclusion of topics such as multiple linear regression (several predictor variables) and analysis of covariance (ANCOVA). The book concludes with special topics such as non-parametric regression and mixed models, time series, spatial processes and design of experiments.
Aimed at 2nd and 3rd year undergraduates studying Statistics, Regression: Linear Models in Statistics requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and standard Linear Algebra. Possible companions include John Haigh’s Probability Models, and T. S. Blyth & E.F. Robertsons’ Basic Linear Algebra and Further Linear Algebra.
"Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essential.
Regression: Linear Models in Statistics fills the gap between introductory statistical theory and more specialist sources of information. In doing so, it provides the reader with a number of worked examples, and exercises with full solutions.
The book begins with simple linear regression (one predictor variable), and analysis of variance (ANOVA), and then further explores the area through inclusion of topics such as multiple linear regression (several predictor variables) and analysis of covariance (ANCOVA). The book concludes with special topics such as non-parametric regression and mixed models, time series, spatial processes and design of experiments.
Aimed at 2nd and 3rd year undergraduates studying Statistics, Regression: Linear Models in Statistics requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and standard Linear Algebra. Possible companions include John Haigh s Probability Models, and T. S. Blyth & E.F. Robertsons Basic Linear Algebra and Further Linear Algebra.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación2010
- ISBN 10 184882968X
- ISBN 13 9781848829688
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas300
- Contacto del fabricanteno disponible
EUR 14,90
EUR 6,52 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoComprar nuevo
Ver este artículo
EUR 42,36
EUR 4,65 gastos de envío desde Reino Unido a España
Destinos, gastos y plazos de envío
Resultados de la búsqueda para Regression: Linear Models in Statistics (Springer Undergradu...
Imagen de archivo
Regression: Linear Models in Statistics
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1. Nº de ref. del artículo: G184882968XI2N00
Cantidad disponible: 1 disponibles
Imagen de archivo
Regression : Linear Models in Statistics
Publicado por
Springer London, Limited, 2010
ISBN 10: 184882968X
ISBN 13: 9781848829688
Antiguo o usado
Tapa blanda
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects. Nº de ref. del artículo: 44974040-6
Cantidad disponible: 1 disponibles
Imagen de archivo
Regression: Linear Models in Statistics (Springer Undergraduate Mathematics Series)
Librería: SN Books Ltd, Thetford, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
paperback. Condición: Fine. Orders shipped daily from the UK. Professional seller. Nº de ref. del artículo: mon0000476747
Cantidad disponible: 1 disponibles
Imagen de archivo
Regression: Linear Models in Statistics (Springer Undergraduate Mathematics Series)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9781848829688_new
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Regression
Publicado por
SPRINGER LONDON Sep 2010, 2010
ISBN 10: 184882968X
ISBN 13: 9781848829688
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essential.Regression: Linear Models in Statistics fills the gap between introductory statistical theory and more specialist sources of information. In doing so, it provides the reader with a number of worked examples, and exercises with full solutions.The book begins with simple linear regression (one predictor variable), and analysis of variance (ANOVA), and then further explores the area through inclusion of topics such as multiple linear regression (several predictor variables) and analysis of covariance (ANCOVA). The book concludes with special topics such as non-parametric regression and mixed models, time series, spatial processes and design of experiments.Aimed at 2nd and 3rd year undergraduates studying Statistics, Regression: Linear Models in Statistics requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and standard Linear Algebra. Possible companions include John Haigh's Probability Models, and T. S. Blyth & E.F. Robertsons' Basic Linear Algebra and Further Linear Algebra. 284 pp. Englisch. Nº de ref. del artículo: 9781848829688
Cantidad disponible: 2 disponibles
Imagen de archivo
Regression: Linear Models in Statistics (Springer Undergraduate Mathematics Series)
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9781848829688
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Regression: Linear Models in Statistics (Paperback or Softback)
Publicado por
Springer 9/29/2010, 2010
ISBN 10: 184882968X
ISBN 13: 9781848829688
Nuevo
Paperback or Softback
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback or Softback. Condición: New. Regression: Linear Models in Statistics 0.93. Book. Nº de ref. del artículo: BBS-9781848829688
Cantidad disponible: 5 disponibles
Imagen del vendedor
Regression: Linear Models in Statistics
Publicado por
Springer Verlag GmbH, 2010
ISBN 10: 184882968X
ISBN 13: 9781848829688
Antiguo o usado
Brossura
Librería: Libro Co. Italia Srl, San Casciano Val di Pesa, FI, Italia
Calificación del vendedor: 5 de 5 estrellas
Brossura. Condición: fine. Heidelberg, 2010; pp. 300. Libro. Nº de ref. del artículo: 1660996
Cantidad disponible: 2 disponibles
Imagen del vendedor
Regression : Linear Models in Statistics
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essential.Regression: Linear Models in Statistics fills the gap between introductory statistical theory and more specialist sources of information. In doing so, it provides the reader with a number of worked examples, and exercises with full solutions.The book begins with simple linear regression (one predictor variable), and analysis of variance (ANOVA), and then further explores the area through inclusion of topics such as multiple linear regression (several predictor variables) and analysis of covariance (ANCOVA). The book concludes with special topics such as non-parametric regression and mixed models, time series, spatial processes and design of experiments.Aimed at 2nd and 3rd year undergraduates studying Statistics, Regression: Linear Models in Statistics requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and standard Linear Algebra. Possible companions include John Haigh's Probability Models, and T. S. Blyth & E.F. Robertsons' Basic Linear Algebra and Further Linear Algebra. Nº de ref. del artículo: 9781848829688
Cantidad disponible: 2 disponibles
Imagen de archivo
Regression : Linear Models in Statistics
Librería: Chiron Media, Wallingford, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9781848829688
Cantidad disponible: 10 disponibles