Regression

Linear Models in Statistics

Nonfiction, Science & Nature, Mathematics, Applied, Statistics
Cover of the book Regression by N. H. Bingham, John M. Fry, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: N. H. Bingham, John M. Fry ISBN: 9781848829695
Publisher: Springer London Publication: September 17, 2010
Imprint: Springer Language: English
Author: N. H. Bingham, John M. Fry
ISBN: 9781848829695
Publisher: Springer London
Publication: September 17, 2010
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer London

Cover of the book The Mass Retrofitting of an Energy Efficient—Low Carbon Zone by N. H. Bingham, John M. Fry
Cover of the book Pollution Under Environmental Regulation in Energy Markets by N. H. Bingham, John M. Fry
Cover of the book Unmanned Rotorcraft Systems by N. H. Bingham, John M. Fry
Cover of the book Thoria-based Nuclear Fuels by N. H. Bingham, John M. Fry
Cover of the book Rheumatology by N. H. Bingham, John M. Fry
Cover of the book Therapeutic Hypothermia After Cardiac Arrest by N. H. Bingham, John M. Fry
Cover of the book Principles of Gynaecological Surgery by N. H. Bingham, John M. Fry
Cover of the book MRCOG Part I by N. H. Bingham, John M. Fry
Cover of the book Essentials In Elbow Surgery by N. H. Bingham, John M. Fry
Cover of the book Transmission Grid Security by N. H. Bingham, John M. Fry
Cover of the book Pervasive Computing by N. H. Bingham, John M. Fry
Cover of the book Operations Research Problems by N. H. Bingham, John M. Fry
Cover of the book Illustrated Dictionary of Practical Astronomy by N. H. Bingham, John M. Fry
Cover of the book Sexually Transmissible Infections in Clinical Practice by N. H. Bingham, John M. Fry
Cover of the book 3D Histology Evaluation of Dermatologic Surgery by N. H. Bingham, John M. Fry
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy