Bayesian Social Science Statistics (Elements in Quantitative and Computational Methods for the Social Sciences)

<p>In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. No previous knowledge is required other than that in a basic statistics course. At the end of the process, readers will understand the core tenets of Bayesian theory and practice in a way that enables them to specify, implement, and understand models using practical social science data. Chapters will cover theoretical principles and real-world applications that provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in both R and Python is provided throughout.</p>

Bayesian Social Science Statistics: From the Very Beginning (Elements in Quantitative and Computational Methods for the Social Sciences)

Gill, Jeff

bao le

Reference

Cambridge University Press

For the First and Second Grade - Arabian Nights - Bookworm. Oxford English-Chinese Bilingual Books - Beautifully Painted - with 1CD ROM (Chinese Edition)

Foreign Languages Teaching and Research Press

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