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Applied Multivariate Data Analysis

Regression and Experimental Design

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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.

Zakup książki

Applied Multivariate Data Analysis, J.D. Jobson

Język
Rok wydania
1999
Oprawa
(twarda)
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Metody płatności

4,5
Bardzo dobra
2 Ocena

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Tytuł
Applied Multivariate Data Analysis
Podtytuł
Regression and Experimental Design
Język
angielski
Wydawca
Springer
Rok wydania
1999
Oprawa
twarda
ISBN10
0387976604
ISBN13
9780387976600
Seria
Tagi
Ocena
4,5 z 5
Opis
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.