Computer Age Statistical Inference
Bradley Efron
Reading Time
at 250 WPM7h 55m
The average reader, reading at a speed of 250 WPM, would take 7h 55m to read Computer Age Statistical Inference.
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16
days at 30 min/day
475
total minutes
Computer Age Statistical Inference
by Bradley Efron, Trevor Hastie
Published
2016
Publisher
Cambridge University Press
Pages
475
ISBN-13
9781107149892
Description
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Frequently Asked Questions
How many pages are in Computer Age Statistical Inference?
This edition of Computer Age Statistical Inference has approximately 475 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 Computer Age Statistical Inference?
For most readers, Computer Age Statistical Inference typically takes between 9h 54m and 6h 36m to complete. This is based on the book's length of approximately 118,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 7h 55m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 16 days • Estimated word count: 118,750 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 Computer Age Statistical Inference?
The estimated word count for Computer Age Statistical Inference is approximately 118,750 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 Computer Age Statistical Inference?
Computer Age Statistical Inference was written by Bradley Efron, Trevor Hastie.
When was Computer Age Statistical Inference published?
The publication date for this specific edition is 2016. The original work may have been published on a different date.