Regression: Linear Models in Statistics (Springer Undergraduate Mathematics Series)
by N. H. Bingham and John M. Fry
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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.
The book, Regression: Linear Models in Statistics (Springer Undergraduate Mathematics Series) [Bulk, Wholesale, Quantity] ISBN#9781848829688 in Paperback by N. H. Bingham, John M. Fry may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer London
- Authors
- N. H. Bingham , John M. Fry
- Format
- Paperback
- Published
- Sep 29, 2010
- ISBN-13
- 9781848829688
- Pages
- 284
- Printing
- Printed on demand
Regression in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $33.43 | 12% off list |
| 50 – 99 | $33.05 | 13% off list |
| 100+ | $32.67 | 14% off list |
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