Titlebook: Applied Multivariate Data Analysis; Regression and Exper J. D. Jobson Textbook 1991 Springer Science+Business Media New York 1991 Analysis

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書(shū)目名稱(chēng)Applied Multivariate Data Analysis影響因子(影響力)




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relieve

https://doi.org/10.1007/978-3-642-84124-8l can be extended so that . can be related to a set of . explanatory variables .., .., …, ... In this chapter, an extensive outline of the multiple linear regression model and its applications will be presented. A data set to be used as a multiple regression example is described next.

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DOLT

Multiple Linear Regression,l can be extended so that . can be related to a set of . explanatory variables .., .., …, ... In this chapter, an extensive outline of the multiple linear regression model and its applications will be presented. A data set to be used as a multiple regression example is described next.

reaching

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Palate

enterprise

Textbook 1991 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

鞏固

Analysis of Variance and Experimental Design,ls and the multiple regression model form will be introduced throughout. Indicator variables will be generated using dummy coding, effect coding and cell mean coding. Orthogonal coding will also be introduced.

極少

Textbook 1991iences. 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.