Statistical rethinking : a Bayesian course with examples in R and Stan /

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually a...

Ausführliche Beschreibung

Gespeichert in:
Weitere Titel:
chapter 1 The Golem of Prague /
chapter 2 Small Worlds and Large Worlds /
chapter 3 Sampling the Imaginary /
chapter 4 Linear Models /
chapter 5 Multivariate Linear Models /
chapter 6 Overfitting, Regularization, and Information Criteria /
chapter 7 Interactions /
chapter 8 Markov Chain Monte Carlo /
chapter 9 Big Entropy and the Generalized Linear Model /
chapter 10 Counting and Classification /
chapter 11 Monsters and Mixtures /
chapter 12 Multilevel Models /
chapter 13 Adventures in Covariance /
chapter 14 Missing Data and Other Opportunities /
chapter 15 Horoscopes /
1. Verfasser:
McElreath, Richard
Körperschaft:
CRC Press
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Boca Raton, FL : CRC Press, an imprint of Chapman and Hall/CRC, [2018].
Ausgabe:
First edition.
Zusammenfassung:
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.
Umfang:
1 online resource (484 pages) : illustrations, tables.
Bibliografie:
Includes bibliographical references.
ISBN:
9781482253481
1482253488
9781315362618
1315362619
9781315372495
1315372495
9781482253467
1482253461
Schlagworte:
Bezugswerke:
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