Nick Bingham, John Fry

Regression: Linear Models in Statistics (Springer Undergraduate Mathematics Series)

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ISBN 13:
9781848829688
author:
Nick Bingham, John Fry
format:
Paperback
publisher:
Springer
language:
English
Publication Year:
2010
Pages:
284
Dimensions:
23.39 x 15.6 x 1.6 centimetres (
Genre:
Science, Mathematics, Applied,
Condition:
New
Availability:
Item usually sent within 5 working days
£35.40

Description

Regression Linear Models in Statistics by N. H. Bingham and John M. Fry provides a comprehensive introduction to the subject of regression analysis in statistics. This book fills the gap between introductory statistical theory and more specialist sources, making it an ideal resource for students studying statistics. The text begins with simple linear regression and analysis of variance (ANOVA), before exploring more advanced topics such as multiple linear regression and analysis of covariance (ANCOVA). The book also covers special topics like non-parametric regression, mixed models, time series, spatial processes, and design of experiments. A basic knowledge of statistics, probability, and standard linear algebra is required to fully appreciate the content. With its focus on worked examples and exercises with full solutions, Regression Linear Models in Statistics offers a practical approach to understanding regression analysis. This book is suitable for 2nd and 3rd year undergraduates studying statistics, making it an essential resource for those looking to deepen their knowledge of the subject.

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