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Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages.
IBM SPSS for Introductory Statistics is designed to help students learn how to analyze and interpret research. In easy-to-understand language, the authors show readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately.
IBM SPSS for Intermediate Statistics, sixth edition, is designed to help readers analyze and interpret research data using IBM SPSS.
This book teaches readers how to analyse data using a programming language called 'R'. R is freely available software and is... Læs mere
Discover the groundbreaking Direction Dependence Analysis (DDA), a powerful statistical method that enhances traditional regression and... Læs mere
This book provides a practical, application-driven guide to using R for public health and health data science, accessible to both beginners and those with some... Læs mere
This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robust performance on unseen data.
This book is for social science students who need to learn the theory of analysis alongside the specifics of the R software package.