Santiago Barreda, Noah Silbert

Broschiertes Buch

Bayesian Multilevel Models for Repeated Measures Data

A Conceptual and Practical Introduction in R

Beschreibung

This comprehensive book is an introduction to multilevel Bayesian models in R using brms and the Stan programming language. Featuring a series of fully worked analyses of repeated-measures data, focus is placed on active learning through the analyses of the progressively more complicated models presented throughout the book.

Autor

Santiago Barreda is a phonetician in the Linguistics Department at the University of California, Davis, USA, with a particular interest in speech perception. Noah Silbert is a former Academic and is currently a practicing Stoic. His training and background are in phonetics, perceptual modeling, and statistics.

Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 486
• Erscheinungstermin: 18. Mai 2023
• Englisch
• Abmessung: 244mm x 170mm x 26mm
• Gewicht: 944g
• ISBN-13: 9781032259635
• ISBN-10: 1032259639
• Artikelnr.: 67402175