#
Regression : linear models in statistics
Resource Information
The work ** Regression : linear models in statistics** represents a distinct intellectual or artistic creation found in **Boston University Libraries**. This resource is a combination of several types including: Work, Language Material, Books.

The Resource
Regression : linear models in statistics
Resource Information

The work

**Regression : linear models in statistics**represents a distinct intellectual or artistic creation found in**Boston University Libraries**. This resource is a combination of several types including: Work, Language Material, Books.- Label
- Regression : linear models in statistics

- 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 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

- Cataloging source
- UKM

- Illustrations
- illustrations

- Index
- index present

- LC call number
- QA278.2

- LC item number
- .B56 2010

- Literary form
- non fiction

- Nature of contents
- bibliography

- Series statement
- Springer undergraduate mathematics series,

## Context

Context of Regression : linear models in statistics## Embed (Experimental)

### Settings

Select options that apply then copy and paste the RDF/HTML data fragment to include in your application

Embed this data in a secure (HTTPS) page:

Layout options:

Include data citation:

<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.bu.edu/resource/rknGprf_eIQ/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/resource/rknGprf_eIQ/">Regression : linear models in statistics</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>

Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements

### Preview

## Cite Data - Experimental

### Data Citation of the Work Regression : linear models in statistics

Copy and paste the following RDF/HTML data fragment to cite this resource

`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.bu.edu/resource/rknGprf_eIQ/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/resource/rknGprf_eIQ/">Regression : linear models in statistics</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>`