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Regression : linear models in statistics

Author: Nick Bingham; John Fry
Publisher: New York ; London : Springer, 2010.
Series: Springer undergraduate mathematics series.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
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 self-study or for a one-or two-semester course. Each book includes numerous examples, problems and fully-worked solutions. N.H. Bingham. John M. Fry Regression" "Regression is the branch  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Nick Bingham; John Fry
ISBN: 184882968X 9781848829688
OCLC Number: 698586799
Description: 1 online resource (xiii, 284 pages).
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.
Series Title: Springer undergraduate mathematics series.
Responsibility: Nick Bingham, John Fry.

Abstract:

This self-contained, mathematical introduction to the development and theory of linear models is aimed primarily at undergraduate students of mathematics. It includes numerous worked examples and  Read more...

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From the reviews:"The present book is intended for a second undergraduate or beginning graduate course in statistics providing further study of this single topic. ... Complete, mathematically Read more...

 
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   schema:reviewBody ""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 self-study or for a one-or two-semester course. Each book includes numerous examples, problems and fully-worked 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 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."--Jacket." ;
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