DF (55) 55 54 94 02 • Cuernavaca (777) 102 83 86
Síguenos en:
 |  |  |
(55) 55 54 94 02
Libros relacionados
 |
Mathematics For Finance. An Introduction To Financial Engineering Capinski, Marek, Zastawniak, Tomasz Springer-Verlag London Limited |
|
Semilinear Elliptic Equations For Beginners. Existence Results Via Variational A Badiale, Marino; Serra, Enrico Springer-Verlag London Limited |
|
Representations Of Hecke Algebras At Roots Of Unity (Vol. 15) Geck, Meinolf; Jacon, Nicolas Springer-Verlag London Limited |
|
Singularities Of Integrals. Homology, Hyperfunctions And Microlocal Analysis Pham, Frédéric Springer-Verlag London Limited |
|
Mathematical Logic And Model Theory. A Brief Introduction Prestel, Alexander, Delzell, Charles N. Springer-Verlag London Limited |
|
Título: Regression. Linear Models In Statistics. (Springer Undergraduate Mathematics Ser | |
| Autor: Lichtenberg, A. J. ; Lieberman, M. A. | Precio: $624.38 | |
| Editorial: Springer-Verlag London Limited | Año: 2010 | |
| Tema: | Edición: 1ª | |
| Sinopsis | ISBN: 9781848829688 | |
| 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. |
||
Disponibilidad: Bajo pedido
ó
ó
Librería Bonilla SA de CV © Todos los derechos reservados. 2019
Última actualización: Jul 2019