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This book is an overview of the Bayesian approach to applying the most important inferential methods of statistical science. It... Læs mere
Building on the foundation established in volume 1 of Statistical Analysis Techniques, this second volume delves deeper into advanced statistical techniques, providing comprehensive guidance for students and researchers working with SPSS Statistical Software.
This book presents a practical approach for researchers seeking to analyse patient data over time, serving... Læs mere
Whether you're new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthcare examples in R.
Whether you're new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthcare examples in R.
This book provides a comprehensive and practical guide to fitting complex Bayesian survival, longitudinal and joint models using the Integrated Nested Laplace Approximations (INLA) methodology, a powerful and computationally efficient alternative to traditional MCMC methods.
The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software. For... Læs mere
The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software. For... Læs mere
This book presents an in-depth guide designed for students, researchers and professionals seeking to harness the power of LaTeX, which is a high-quality typesetting tool widely... Læs mere
This book presents an in-depth guide designed for students, researchers and professionals seeking to harness the power of LaTeX, which is a high-quality typesetting tool widely used in... Læs mere
In this hands-on guide, author Nitin Borwankar takes you through the "why, what, and how" of vector databases, starting with the basic theory behind vector embeddings and progressing to building applications with real-world tools.