Probability theory
Daniel W. Stroock
Reading Time
at 250 WPM8h 32m
The average reader, reading at a speed of 250 WPM, would take 8h 32m to read Probability theory.
Personalise your estimate by entering your reading speed below
Test my reading speedEnter speed in words per minute
18
days at 30 min/day
512
total minutes
Probability theory
Published
1993
Publisher
Cambridge University Press
Pages
512
ISBN-10
0521431239
Description
This book is intended for graduate students who have a good undergraduate introduction to probability theory, a reasonably sophisticated introduction to modern analysis, and who now want to learn what these two topics have to say about each other. By modern standards, the topics treated here are classical and the techniques used far-ranging. No attempt has been made to present the subject as a monolithic structure resting on a few basic principles. The first part of the book deals with independent random variables, Central Limit phenomena, the general theory of weak convergence and several of its applications, as well as elements of both the Gaussian and Markovian theory of measures on function space. The introduction of conditional expectation values is postponed until the second part of the book, where it is applied to the study of martingales. This section also explores the connection between martingales and various aspects of classical analysis, and the connections between Wiener's measure and classical potential theory. Although the book is primarily intended for students and practitioners of probability theory and analysis, it will also be a valuable reference for those in fields as diverse as physics, engineering, and economics.
Subjects
The Firm
A Mind to Murder
The Black Swan
Fooled by randomness
Introduction to Probability and Statistics
Introductory statistics for the behavioral sciences
Frequently Asked Questions
How many pages are in Probability theory?
This edition of Probability theory has approximately 512 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 Probability theory?
For most readers, Probability theory typically takes between 10h 40m and 7h 7m to complete. This is based on the book's length of approximately 128,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 8h 32m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 18 days • Estimated word count: 128,000 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 Probability theory?
The estimated word count for Probability theory is approximately 128,000 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 Probability theory?
Probability theory was written by Daniel W. Stroock.
When was Probability theory published?
The publication date for this specific edition is 1993. The original work may have been published on a different date.