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Field name	Details
Dewey Class	519
Title	Regression ([Ebook]) : Linear Models in Statistics / by N. H. Bingham, John M. Fry.
Author	Bingham, Nicholas H.
Added Personal Name	Fry, John M.
Other name(s)	SpringerLink (Online service)
Publication	London : Springer London
Publication	, 2010.
Physical Details	XIII, 284 pages:. 50 illus. : online resource.
Series	Springer undergraduate mathematics series 1615-2085
ISBN	9781848829695
Summary Note	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 Haighâs Probability Models, and T. S. Blyth & E.F. Robertsonsâ Basic Linear Algebra and Further Linear Algebra.:
Contents note	Linear Regression -- The Analysis of Variance (ANOVA) -- Multiple Regression -- Further Multilinear Regression -- Analysis of Covariance -- Linear Hypotheses -- Model Checking and Transformation of Data -- Generalized linear models -- Solutions.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site	http://dx.doi.org/10.1007/978-1-84882-969-5
Links to Related Works	Subject References: Applications of Mathematics . Mathematical Statistics . Mathematics . Statistical Theory and Methods . Authors: author . Bingham, Nicholas H. . Fry, John M. . Corporate Authors: SpringerLink (Online service) . Series: Springer undergraduate mathematics series . Classification: 519 . 519 (DDC 23) .

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Regression: Linear Models in Statistics

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