Applied multivariate data analysis. Vol. I, Regression and experimental design /
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 o...
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| Format: | eBook |
| Language: | English |
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New York, NY :
Springer New York : Imprint : Springer,
1991.
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| Series: | Springer texts in statistics.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (XXIV, 652 pages 93 illustrations) |
| ISBN: | 9781461209553 (electronic bk.) 1461209552 (electronic bk.) |