Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R

Barreda, Santiago, Silbert, Noah

  • 出版商: Routledge
  • 出版日期: 2023-05-18
  • 售價: $2,390
  • 貴賓價: 9.5$2,271
  • 語言: 英文
  • 頁數: 460
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032259639
  • ISBN-13: 9781032259635
  • 相關分類: R 語言機率統計學 Probability-and-statistics
  • 海外代購書籍(需單獨結帳)

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商品描述

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.

作者簡介

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.