Bayesian data analysis
Andrew Gelman
Reading Time
at 250 WPM11h 15m
The average reader, reading at a speed of 250 WPM, would take 11h 15m to read Bayesian data analysis.
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23
days at 30 min/day
675
total minutes
Bayesian data analysis
by Andrew Gelman, John B. Carlin, Hal S. Stern
Published
2013
Publisher
Taylor & Francis Group
Pages
675
ISBN-13
9781439898222
Description
"Bayesian Data Analysis is a comprehensive treatment of the statistical analysis of data from a Bayesian perspective. Modern computational tools are emphasized, and inferences are typically obtained using computer simulations.". "The principles of Bayesian analysis are described with an emphasis on practical rather than theoretical issues, and illustrated using actual data. A variety of models are considered, including linear regression, hierarchical (random effects) models, robust models, generalized linear models and mixture models.". "Two important and unique features of this text are thorough discussions of the methods for checking Bayesian models and the role of the design of data collection in influencing Bayesian statistical analysis." "Issues of data collection, model formulation, computation, model checking and sensitivity analysis are all considered. The student or practising statistician will find that there is guidance on all aspects of Bayesian data analysis."--BOOK JACKET.
Subjects
Statistical decision theory and Bayesian analysis
The Signal and the Noise
Statistical decision theory, foundations, concepts, and methods
Statistical decision theory with business and economic applications
The advanced theory of statistics
The Theory That Would Not Die
Frequently Asked Questions
How many pages are in Bayesian data analysis?
This edition of Bayesian data analysis has approximately 675 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Bayesian data analysis?
For most readers, Bayesian data analysis typically takes between 14h 4m and 9h 23m to complete. This is based on the book's length of approximately 168,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 11h 15m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 23 days • Estimated word count: 168,750 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Bayesian data analysis?
The estimated word count for Bayesian data analysis is approximately 168,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Bayesian data analysis?
Bayesian data analysis was written by Andrew Gelman, John B. Carlin, Hal S. Stern.
When was Bayesian data analysis published?
The publication date for this specific edition is 2013. The original work may have been published on a different date.