An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference.
Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology.
In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.
| ISBN: | 9781461269601 |
| Publication date: | 27th September 2012 |
| Author: | JD Jobson |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 622 pages |
| Series: | Springer Texts in Statistics |
An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory.
Paperback, Hardback. Not Available.
Applied Multivariate Data Analysis was written by JD Jobson and published by Springer an imprint of Springer New York
Applied Multivariate Data Analysis has 622 pages
Yes it is part of Springer Texts in Statistics series