Regression : linear models in statistics
 Author/Creator
 Bingham, N. H.
 Language
 English.
 Imprint
 London ; New York : Springer, c2010.
 Physical description
 xiii, 284 p. : ill. ; 24 cm.
 Series
 Springer undergraduate mathematics series.
Access
Available online

Stacks

Unknown
QA278.2 .B56 2010

Unknown
QA278.2 .B56 2010
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Contributors
 Contributor
 Fry, John M. (John Michael), 1980
Contents/Summary
 Bibliography
 Includes bibliographical references and index.
 Contents

 Linear regression
 The Analysis of Variance (ANOVA)
 Multiple regression
 Further multilinear regression
 Adding additional covariates and the Analysis of Covariance
 Linear hypotheses
 Model checking and transformation of data
 Generalised linear models
 Other topics
 Solutions
 Dramatis personae : who did what when.
 Summary
 "The Springer Undergraduate Mathematics Series (SUMS) is designed for undergraduates in the mathematical sciences. From core foundational material to final year topics, SUMS books take a fresh and modern approach and are ideal for selfstudy or for a oneor twosemester course. Each book includes numerous examples, problems and fullyworked solutions. N. H. Bingham. John M. Fry Regression" "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 twoor higherdimensional, 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 nonparametric 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 (onedimensional) 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."BOOK JACKET.
Subjects
Bibliographic information
 Publication date
 2010
 Responsibility
 N.H. Bingham, John M. Fry.
 Series
 Springer undergraduate mathematics series, 16152085
 ISBN
 9781848829688
 184882968X
 9781848829695
 1848829698
 Publisher Number
 12637171