Exploratory and Robust Data by Abdel-Salam G. Abdel-Salam (.ePUB)+

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File Size: 48.3 MB

Exploratory and Robust Data Analysis: A Modern Applied Statistics Guide Using SPSS and R by Abdel-Salam G. Abdel-Salam, Jeffrey B. Birch
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Overview: Exploratory and Robust Data Analysis: A Modern Applied Statistics Guide Using SPSS and R is an essential resource for students, researchers, and professionals seeking a comprehensive yet practical approach to modern statistical analysis. This book bridges traditional statistical methods with contemporary techniques, emphasizing exploratory and robust data analysis while integrating powerful computational tools such as R and SPSS. Designed for intermediate-level courses and research applications, the book begins with fundamental concepts in exploratory data analysis, graphical methods, and confirmatory statistical procedures. It then introduces robust statistical methods, including M-estimators, high breakdown estimators, bootstrap techniques, and Monte Carlo simulations, equipping readers with tools to handle complex and real-world data scenarios. Key topics include regression analysis, multiple linear models, nonparametric regression, and generalized linear models, ensuring broad applicability across disciplines. The R and SPSS statistical software are emphasized throughout the text. While both are excellent packages, the R system is emphasized. Their availability on both the PC and Mac platforms, the ease with which R or SPSS can be taught to the beginning student, and the affordability of R and SPSS all led to this decision.
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