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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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發(fā)表于 2025-3-21 19:09:24 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Multivariate Data Analysis
期刊簡稱Regression and Exper
影響因子2023J. D. Jobson
視頻videohttp://file.papertrans.cn/160/159979/159979.mp4
學(xué)科分類Springer Texts in Statistics
圖書封面Titlebook: Applied Multivariate Data Analysis; Regression and Exper J. D. Jobson Textbook 1991 Springer Science+Business Media New York  1991 Analysis
影響因子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.
Pindex Textbook 1991
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發(fā)表于 2025-3-21 21:39:37 | 只看該作者
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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地板
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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.
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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
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發(fā)表于 2025-3-23 04:19:53 | 只看該作者
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.
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發(fā)表于 2025-3-23 06:20:46 | 只看該作者
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.
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