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The Resource Regression : linear models in statistics, N.H. Bingham, John M. Fry
Regression : linear models in statistics, N.H. Bingham, John M. Fry
Resource Information
The item Regression : linear models in statistics, N.H. Bingham, John M. Fry represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Regression : linear models in statistics, N.H. Bingham, John M. Fry represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
 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."Jacket
 Language
 eng
 Extent
 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
 Isbn
 9781848829695
 Label
 Regression : linear models in statistics
 Title
 Regression
 Title remainder
 linear models in statistics
 Statement of responsibility
 N.H. Bingham, John M. Fry
 Language
 eng
 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."Jacket
 Cataloging source
 UKM
 http://library.link/vocab/creatorName
 Bingham, N. H
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA278.2
 LC item number
 .B56 2010
 Literary form
 non fiction
 Nature of contents
 bibliography
 http://library.link/vocab/relatedWorkOrContributorDate
 1980
 http://library.link/vocab/relatedWorkOrContributorName
 Fry, John M.
 Series statement
 Springer undergraduate mathematics series,
 http://library.link/vocab/subjectName

 Regression analysis
 Regression analysis
 Regression
 Lineares Regressionsmodell
 Label
 Regression : linear models in statistics, N.H. Bingham, John M. Fry
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 volume
 Carrier category code
 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 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
 Dimensions
 24 cm.
 Extent
 xiii, 284 pages
 Isbn
 9781848829695
 Isbn Type
 (eISBN)
 Lccn
 2010935297
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code
 n
 Other physical details
 illustrations
 Publisher number
 12637171
 System control number

 (OCoLC)449852100
 (OCoLC)ocn449852100
 Label
 Regression : linear models in statistics, N.H. Bingham, John M. Fry
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 volume
 Carrier category code
 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 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
 Dimensions
 24 cm.
 Extent
 xiii, 284 pages
 Isbn
 9781848829695
 Isbn Type
 (eISBN)
 Lccn
 2010935297
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code
 n
 Other physical details
 illustrations
 Publisher number
 12637171
 System control number

 (OCoLC)449852100
 (OCoLC)ocn449852100
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