Statistics in MATLAB

Discover the power of statistical analysis with "Statistics in MATLAB" by MoonJung Cho, published by Taylor & Francis Ltd in 2018. This hardback edition spans 288 pages and offers a deep dive into the essential techniques of data processing using MATLAB. It covers multilevel models, providing clear guidance on how to fit these models effectively. Learn how to apply multilevel modeling to longitudinal data and explore various graphical options that MATLAB offers for enhanced data visualization. This book also addresses models for categorical dependent variables, both in single-level and multilevel contexts. Concluding with a robust section on Bayesian fitting, this resource is invaluable for anyone looking to deepen their understanding of numerical analysis and statistical practices within MATLAB. Perfect for students, researchers, and professionals seeking to master data analysis techniques.